1804 lines
430 KiB
Plaintext
1804 lines
430 KiB
Plaintext
2024-10-14 11:01:36,437 (logging:124) INFO: the current machine is at 127.0.1.1
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2024-10-14 11:01:36,437 (logging:126) INFO: the current dir is /home/czzhangheng/code/FederatedScope
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2024-10-14 11:01:36,438 (logging:127) INFO: the output dir is exp/FedAvg_FedDGCN_on_trafficflow_lr0.01_lstep1/sub_exp_20241014110136
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2024-10-14 11:01:40,950 (config:243) INFO: the used configs are:
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aggregator:
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BFT_args:
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byzantine_node_num: 0
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inside_weight: 1.0
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num_agg_groups: 1
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num_agg_topk: []
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outside_weight: 0.0
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robust_rule: fedavg
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asyn:
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use: False
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attack:
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alpha_TV: 0.001
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alpha_prop_loss: 0
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attack_method:
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attacker_id: -1
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classifier_PIA: randomforest
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edge_num: 100
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edge_path: edge_data/
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freq: 10
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info_diff_type: l2
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inject_round: 0
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insert_round: 100000
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label_type: dirty
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max_ite: 400
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mean: [0.9637]
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mia_is_simulate_in: False
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mia_simulate_in_round: 20
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pgd_eps: 2
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pgd_lr: 0.1
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pgd_poisoning: False
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poison_ratio: 0.5
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reconstruct_lr: 0.01
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reconstruct_optim: Adam
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scale_para: 1.0
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scale_poisoning: False
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self_epoch: 6
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self_lr: 0.05
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self_opt: False
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setting: fix
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std: [0.1592]
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target_label_ind: -1
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trigger_path: trigger/
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trigger_type: edge
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backend: torch
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cfg_file:
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check_completeness: False
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criterion:
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type: L1Loss
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data:
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add_day_in_week: True
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add_time_in_day: True
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args: []
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batch_size: 64
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cSBM_phi: [0.5, 0.5, 0.5]
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cache_dir:
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column_wise: False
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consistent_label_distribution: True
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days_per_week: 7
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default_graph: True
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drop_last: False
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file_path:
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hetero_data_name: []
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hetero_synth_batch_size: 32
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hetero_synth_feat_dim: 128
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hetero_synth_prim_weight: 0.5
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horizon: 12
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is_debug: False
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lag: 12
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loader:
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max_query_len: 128
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max_seq_len: 384
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max_tgt_len: 128
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normalizer: std
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num_contrast: 0
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num_nodes: 170
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num_of_client_for_data: []
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num_steps: 30
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num_workers: 0
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pre_transform: []
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quadratic:
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dim: 1
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max_curv: 12.5
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min_curv: 0.02
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root: data/trafficflow/PeMS08
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save_data: False
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scaler: [229.843136, 145.625531]
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server_holds_all: False
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shuffle: True
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sizes: [10, 5]
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splits: [0.8, 0.1, 0.1]
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splitter: trafficflowprediction
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splitter_args: []
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steps_per_day: 288
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subsample: 1.0
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target_transform: []
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test_pre_transform: []
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test_ratio: 0.2
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test_target_transform: []
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test_transform: []
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tod: False
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transform: []
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trunc_stride: 128
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type: trafficflow
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val_pre_transform: []
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val_ratio: 0.2
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val_target_transform: []
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val_transform: []
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walk_length: 2
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dataloader:
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batch_size: 64
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drop_last: True
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num_steps: 30
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num_workers: 0
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pin_memory: False
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shuffle: True
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sizes: [10, 5]
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theta: -1
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type: trafficflow
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walk_length: 2
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device: 0
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distribute:
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use: False
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early_stop:
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delta: 0.0
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improve_indicator_mode: best
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patience: 15
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eval:
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best_res_update_round_wise_key: val_loss
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count_flops: True
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freq: 1
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metrics: ['avg_loss']
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monitoring: []
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report: ['weighted_avg', 'avg', 'fairness', 'raw']
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split: ['test', 'val']
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expname: FedAvg_FedDGCN_on_trafficflow_lr0.01_lstep1
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expname_tag:
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feat_engr:
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num_bins: 5
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scenario: hfl
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secure:
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dp:
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encrypt:
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type: dummy
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key_size: 3072
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type: encrypt
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selec_threshold: 0.05
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selec_woe_binning: quantile
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type:
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federate:
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atc_load_from:
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atc_vanilla: False
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client_num: 10
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data_weighted_aggr: False
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ignore_weight: False
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join_in_info: []
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make_global_eval: False
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master_addr: 127.0.0.1
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master_port: 29500
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merge_test_data: False
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merge_val_data: False
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method: FedAvg
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mode: standalone
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online_aggr: False
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process_num: 1
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resource_info_file:
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restore_from:
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sample_client_num: 10
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sample_client_rate: -1.0
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sampler: uniform
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save_to:
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share_local_model: False
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total_round_num: 100
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unseen_clients_rate: 0.0
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use_diff: False
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use_ss: False
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fedopt:
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use: False
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fedprox:
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use: False
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fedsageplus:
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a: 1.0
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b: 1.0
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c: 1.0
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fedgen_epoch: 200
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gen_hidden: 128
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hide_portion: 0.5
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loc_epoch: 1
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num_pred: 5
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fedswa:
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use: False
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finetune:
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batch_or_epoch: epoch
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before_eval: False
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epoch_linear: 10
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freeze_param:
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local_param: []
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local_update_steps: 1
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lr_linear: 0.005
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optimizer:
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lr: 0.1
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type: SGD
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scheduler:
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type:
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warmup_ratio: 0.0
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simple_tuning: False
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weight_decay: 0.0
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flitplus:
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factor_ema: 0.8
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lambdavat: 0.5
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tmpFed: 0.5
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weightReg: 1.0
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gcflplus:
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EPS_1: 0.05
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EPS_2: 0.1
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seq_length: 5
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standardize: False
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grad:
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grad_accum_count: 1
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grad_clip: 5.0
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hpo:
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fedex:
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cutoff: 0.0
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diff: False
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eta0: -1.0
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flatten_ss: True
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gamma: 0.0
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pi_lr: 0.01
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psn: False
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sched: auto
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ss:
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use: False
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fts:
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M: 100
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M_target: 200
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allow_load_existing_info: True
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diff: False
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fed_bo_max_iter: 50
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g_var: 1e-06
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gp_opt_schedule: 1
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local_bo_epochs: 50
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local_bo_max_iter: 50
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ls: 1.0
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obs_noise: 1e-06
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ss:
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target_clients: []
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use: False
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v_kernel: 1.0
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var: 0.1
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init_cand_num: 16
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larger_better: False
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metric: client_summarized_weighted_avg.val_loss
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num_workers: 0
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pbt:
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max_stage: 5
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perf_threshold: 0.1
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pfedhpo:
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discrete: False
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ss:
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target_fl_total_round: 1000
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train_anchor: False
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train_fl: False
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use: False
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scheduler: rs
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sha:
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budgets: []
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elim_rate: 3
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iter: 0
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ss:
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table:
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eps: 0.1
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idx: 0
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num: 27
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trial_index: 0
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working_folder: hpo
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model:
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cheb_order: 2
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contrast_temp: 1.0
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contrast_topk: 100
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downstream_tasks: []
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dropout: 0.1
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embed_dim: 10
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embed_size: 8
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gamma: 0
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graph_pooling: mean
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hidden: 256
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horizon: 12
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in_channels: 0
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input_dim: 1
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input_shape: ()
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label_smoothing: 0.1
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lambda_: 0.1
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layer: 2
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length_penalty: 2.0
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max_answer_len: 30
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max_length: 200
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max_tree_depth: 3
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min_length: 1
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model_num_per_trainer: 1
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model_type: google/bert_uncased_L-2_H-128_A-2
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n_best_size: 20
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no_repeat_ngram_size: 3
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null_score_diff_threshold: 0.0
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num_beams: 5
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num_item: 0
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num_labels: 1
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num_layers: 1
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num_nodes: 17
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num_of_trees: 10
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num_user: 0
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out_channels: 1
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output_dim: 1
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pretrain_tasks: []
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rnn_units: 64
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stage:
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task: TrafficFlowPrediction
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type: FedDGCN
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use_bias: True
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use_contrastive_loss: False
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use_day: True
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use_week: True
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nbafl:
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use: False
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outdir: exp/FedAvg_FedDGCN_on_trafficflow_lr0.01_lstep1/sub_exp_20241014110136
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personalization:
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K: 5
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beta: 1.0
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epoch_feature: 1
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epoch_linear: 2
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local_param: []
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local_update_steps: 1
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lr: 0.01
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lr_feature: 0.1
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lr_linear: 0.1
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regular_weight: 0.1
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share_non_trainable_para: False
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weight_decay: 0.0
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print_decimal_digits: 6
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quantization:
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method: none
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nbits: 8
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regularizer:
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mu: 0.0
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type:
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seed: 10
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sgdmf:
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use: False
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train:
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batch_or_epoch: epoch
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batch_size: 64
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data_para_dids: []
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early_stop: False
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early_stop_patience: 15
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epochs: 300
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grad_norm: True
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local_update_steps: 1
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loss_func: mae
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lr_decay: False
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lr_decay_rate: 0.3
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lr_decay_step: [5, 20, 40, 70]
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lr_init: 0.003
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max_grad_norm: 5
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optimizer:
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lr: 0.01
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type: Adam
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weight_decay: 0.0
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real_value: True
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scheduler:
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type:
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warmup_ratio: 0.0
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seed: 10
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weight_decay: 0
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trainer:
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disp_freq: 50
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local_entropy:
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alpha: 0.75
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eps: 0.0001
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gamma: 0.03
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inc_factor: 1.0
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log_dir: ./
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sam:
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adaptive: False
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eta: 0.0
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rho: 1.0
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type: trafficflowtrainer
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val_freq: 100000000
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use_gpu: True
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verbose: 1
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vertical:
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use: False
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wandb:
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use: False
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2024-10-14 11:01:41,058 (utils:147) INFO: The device information file is not provided
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2024-10-14 11:01:41,097 (fed_runner:173) INFO: Server has been set up ...
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2024-10-14 11:01:41,121 (fed_runner:225) INFO: Client 1 has been set up ...
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2024-10-14 11:01:41,142 (fed_runner:225) INFO: Client 2 has been set up ...
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2024-10-14 11:01:41,160 (fed_runner:225) INFO: Client 3 has been set up ...
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2024-10-14 11:01:41,179 (fed_runner:225) INFO: Client 4 has been set up ...
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2024-10-14 11:01:41,198 (fed_runner:225) INFO: Client 5 has been set up ...
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2024-10-14 11:01:41,215 (fed_runner:225) INFO: Client 6 has been set up ...
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2024-10-14 11:01:41,230 (fed_runner:225) INFO: Client 7 has been set up ...
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2024-10-14 11:01:41,245 (fed_runner:225) INFO: Client 8 has been set up ...
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2024-10-14 11:01:41,260 (fed_runner:225) INFO: Client 9 has been set up ...
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2024-10-14 11:01:41,275 (fed_runner:225) INFO: Client 10 has been set up ...
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2024-10-14 11:01:41,275 (trainer:345) INFO: Model meta-info: <class 'federatedscope.trafficflow.model.FedDGCN.FedDGCN'>.
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2024-10-14 11:01:41,276 (trainer:353) INFO: Num of original para names: 50.
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2024-10-14 11:01:41,276 (trainer:354) INFO: Num of original trainable para names: 50.
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2024-10-14 11:01:41,276 (trainer:356) INFO: Num of preserved para names in local update: 50.
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Preserved para names in local update: {'encoder2.DGCRM_cells.0.update.fc.fc1.bias', 'encoder2.DGCRM_cells.0.update.fc.fc3.weight', 'end_conv2.weight', 'T_i_D_emb', 'encoder2.DGCRM_cells.0.gate.fc.fc2.bias', 'encoder1.DGCRM_cells.0.gate.bias_pool', 'encoder2.DGCRM_cells.0.update.fc.fc2.bias', 'encoder1.DGCRM_cells.0.gate.fc.fc2.bias', 'encoder1.DGCRM_cells.0.gate.fc.fc3.weight', 'end_conv1.weight', 'encoder1.DGCRM_cells.0.update.fc.fc2.weight', 'encoder1.DGCRM_cells.0.update.weights', 'encoder1.DGCRM_cells.0.update.weights_pool', 'encoder1.DGCRM_cells.0.update.fc.fc3.bias', 'encoder1.DGCRM_cells.0.gate.bias', 'encoder2.DGCRM_cells.0.update.bias_pool', 'encoder2.DGCRM_cells.0.update.fc.fc2.weight', 'encoder2.DGCRM_cells.0.update.fc.fc3.bias', 'encoder1.DGCRM_cells.0.update.fc.fc3.weight', 'encoder1.DGCRM_cells.0.gate.fc.fc1.bias', 'encoder1.DGCRM_cells.0.gate.fc.fc2.weight', 'encoder1.DGCRM_cells.0.gate.weights', 'encoder1.DGCRM_cells.0.gate.fc.fc1.weight', 'encoder1.DGCRM_cells.0.gate.weights_pool', 'node_embeddings2', 'end_conv2.bias', 'end_conv1.bias', 'encoder2.DGCRM_cells.0.gate.fc.fc1.weight', 'D_i_W_emb', 'encoder2.DGCRM_cells.0.gate.fc.fc2.weight', 'node_embeddings1', 'encoder1.DGCRM_cells.0.update.bias', 'encoder2.DGCRM_cells.0.gate.fc.fc3.weight', 'encoder2.DGCRM_cells.0.gate.fc.fc1.bias', 'encoder2.DGCRM_cells.0.update.weights_pool', 'encoder2.DGCRM_cells.0.gate.bias', 'encoder1.DGCRM_cells.0.update.bias_pool', 'encoder2.DGCRM_cells.0.gate.weights', 'encoder1.DGCRM_cells.0.update.fc.fc2.bias', 'encoder2.DGCRM_cells.0.gate.bias_pool', 'encoder1.DGCRM_cells.0.update.fc.fc1.bias', 'end_conv3.bias', 'encoder2.DGCRM_cells.0.update.weights', 'end_conv3.weight', 'encoder1.DGCRM_cells.0.gate.fc.fc3.bias', 'encoder2.DGCRM_cells.0.update.bias', 'encoder1.DGCRM_cells.0.update.fc.fc1.weight', 'encoder2.DGCRM_cells.0.gate.fc.fc3.bias', 'encoder2.DGCRM_cells.0.update.fc.fc1.weight', 'encoder2.DGCRM_cells.0.gate.weights_pool'}.
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2024-10-14 11:01:41,277 (trainer:360) INFO: Num of filtered para names in local update: 0.
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Filtered para names in local update: set().
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2024-10-14 11:01:41,277 (trainer:365) INFO: After register default hooks,
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the hooks_in_train is:
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{
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"on_fit_start": [
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"_hook_on_data_parallel_init",
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"_hook_on_fit_start_init",
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"_hook_on_fit_start_calculate_model_size"
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],
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"on_epoch_start": [
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"_hook_on_epoch_start"
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],
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"on_batch_start": [
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"_hook_on_batch_start_init"
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],
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"on_batch_forward": [
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"_hook_on_batch_forward",
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"_hook_on_batch_forward_regularizer",
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"_hook_on_batch_forward_flop_count"
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],
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"on_batch_backward": [
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"_hook_on_batch_backward"
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],
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"on_batch_end": [
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"_hook_on_batch_end"
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],
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"on_fit_end": [
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"_hook_on_fit_end"
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]
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};
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the hooks_in_eval is:
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t{
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"on_fit_start": [
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"_hook_on_data_parallel_init",
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"_hook_on_fit_start_init"
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],
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"on_epoch_start": [
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"_hook_on_epoch_start"
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],
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"on_batch_start": [
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"_hook_on_batch_start_init"
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],
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"on_batch_forward": [
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"_hook_on_batch_forward"
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],
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"on_batch_end": [
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"_hook_on_batch_end"
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],
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"on_fit_end": [
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"_hook_on_fit_end"
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]
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}
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2024-10-14 11:01:41,287 (server:843) INFO: ----------- Starting training (Round #0) -------------
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2024-10-14 11:02:25,766 (client:354) INFO: {'Role': 'Client #9', 'Round': 0, 'Results_raw': {'train_loss': 25.943762, 'val_loss': 18.791245, 'test_loss': 17.354317}}
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2024-10-14 11:03:05,005 (client:354) INFO: {'Role': 'Client #3', 'Round': 0, 'Results_raw': {'train_loss': 27.585322, 'val_loss': 20.49317, 'test_loss': 20.499271}}
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2024-10-14 11:03:45,245 (client:354) INFO: {'Role': 'Client #6', 'Round': 0, 'Results_raw': {'train_loss': 19.470165, 'val_loss': 15.060403, 'test_loss': 15.026985}}
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2024-10-14 11:04:23,848 (client:354) INFO: {'Role': 'Client #7', 'Round': 0, 'Results_raw': {'train_loss': 19.438356, 'val_loss': 13.271362, 'test_loss': 12.543157}}
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2024-10-14 11:05:06,195 (client:354) INFO: {'Role': 'Client #4', 'Round': 0, 'Results_raw': {'train_loss': 24.654137, 'val_loss': 16.586893, 'test_loss': 16.499015}}
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2024-10-14 11:05:48,277 (client:354) INFO: {'Role': 'Client #2', 'Round': 0, 'Results_raw': {'train_loss': 26.856951, 'val_loss': 19.698748, 'test_loss': 19.318494}}
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2024-10-14 11:06:31,038 (client:354) INFO: {'Role': 'Client #1', 'Round': 0, 'Results_raw': {'train_loss': 32.409067, 'val_loss': 23.124644, 'test_loss': 23.392229}}
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2024-10-14 11:07:12,946 (client:354) INFO: {'Role': 'Client #8', 'Round': 0, 'Results_raw': {'train_loss': 25.696983, 'val_loss': 17.960698, 'test_loss': 16.58294}}
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2024-10-14 11:07:53,331 (client:354) INFO: {'Role': 'Client #5', 'Round': 0, 'Results_raw': {'train_loss': 22.783005, 'val_loss': 15.037003, 'test_loss': 14.710725}}
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2024-10-14 11:08:39,652 (client:354) INFO: {'Role': 'Client #10', 'Round': 0, 'Results_raw': {'train_loss': 24.804962, 'val_loss': 17.327874, 'test_loss': 17.485534}}
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2024-10-14 11:08:39,694 (server:353) INFO: Server: Starting evaluation at the end of round 0.
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2024-10-14 11:08:39,694 (server:359) INFO: ----------- Starting a new training round (Round #1) -------------
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2024-10-14 11:10:27,501 (client:354) INFO: {'Role': 'Client #6', 'Round': 1, 'Results_raw': {'train_loss': 15.847375, 'val_loss': 14.403136, 'test_loss': 14.136528}}
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2024-10-14 11:11:06,356 (client:354) INFO: {'Role': 'Client #4', 'Round': 1, 'Results_raw': {'train_loss': 19.563895, 'val_loss': 16.192588, 'test_loss': 16.244221}}
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2024-10-14 11:11:48,379 (client:354) INFO: {'Role': 'Client #5', 'Round': 1, 'Results_raw': {'train_loss': 17.836845, 'val_loss': 15.248363, 'test_loss': 15.02751}}
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2024-10-14 11:12:35,920 (client:354) INFO: {'Role': 'Client #8', 'Round': 1, 'Results_raw': {'train_loss': 20.581708, 'val_loss': 17.161409, 'test_loss': 15.879049}}
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2024-10-14 11:13:16,970 (client:354) INFO: {'Role': 'Client #7', 'Round': 1, 'Results_raw': {'train_loss': 15.508643, 'val_loss': 13.35263, 'test_loss': 12.574376}}
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2024-10-14 11:13:57,427 (client:354) INFO: {'Role': 'Client #9', 'Round': 1, 'Results_raw': {'train_loss': 19.804189, 'val_loss': 18.692521, 'test_loss': 17.306886}}
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2024-10-14 11:14:37,675 (client:354) INFO: {'Role': 'Client #10', 'Round': 1, 'Results_raw': {'train_loss': 18.925009, 'val_loss': 17.036552, 'test_loss': 16.999142}}
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2024-10-14 11:15:17,751 (client:354) INFO: {'Role': 'Client #3', 'Round': 1, 'Results_raw': {'train_loss': 22.756254, 'val_loss': 20.122753, 'test_loss': 20.03693}}
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2024-10-14 11:15:59,550 (client:354) INFO: {'Role': 'Client #2', 'Round': 1, 'Results_raw': {'train_loss': 20.895952, 'val_loss': 19.239434, 'test_loss': 18.821754}}
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2024-10-14 11:16:40,783 (client:354) INFO: {'Role': 'Client #1', 'Round': 1, 'Results_raw': {'train_loss': 26.119304, 'val_loss': 22.32445, 'test_loss': 22.562}}
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2024-10-14 11:16:40,787 (server:615) INFO: {'Role': 'Server #', 'Round': 0, 'Results_weighted_avg': {'test_avg_loss': np.float64(33.174942), 'test_loss': np.float64(116775.794165), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(34.021377), 'val_loss': np.float64(119755.246997), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(33.174942), 'test_loss': np.float64(116775.794165), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(34.021377), 'val_loss': np.float64(119755.246997), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(5.471148), 'test_avg_loss_bottom_decile': np.float64(24.439439), 'test_avg_loss_top_decile': np.float64(41.805026), 'test_avg_loss_min': np.float64(23.591704), 'test_avg_loss_max': np.float64(41.805026), 'test_avg_loss_bottom10%': np.float64(23.591704), 'test_avg_loss_top10%': np.float64(41.805026), 'test_avg_loss_cos1': np.float64(0.986672), 'test_avg_loss_entropy': np.float64(2.288485), 'test_loss_std': np.float64(19258.441789), 'test_loss_bottom_decile': np.float64(86026.826294), 'test_loss_top_decile': np.float64(147153.692505), 'test_loss_min': np.float64(83042.796753), 'test_loss_max': np.float64(147153.692505), 'test_loss_bottom10%': np.float64(83042.796753), 'test_loss_top10%': np.float64(147153.692505), 'test_loss_cos1': np.float64(0.986672), 'test_loss_entropy': np.float64(2.288485), 'val_avg_loss_std': np.float64(5.512841), 'val_avg_loss_bottom_decile': np.float64(25.129492), 'val_avg_loss_top_decile': np.float64(42.617747), 'val_avg_loss_min': np.float64(24.327186), 'val_avg_loss_max': np.float64(42.617747), 'val_avg_loss_bottom10%': np.float64(24.327186), 'val_avg_loss_top10%': np.float64(42.617747), 'val_avg_loss_cos1': np.float64(0.987124), 'val_avg_loss_entropy': np.float64(2.288947), 'val_loss_std': np.float64(19405.198937), 'val_loss_bottom_decile': np.float64(88455.812256), 'val_loss_top_decile': np.float64(150014.46875), 'val_loss_min': np.float64(85631.694336), 'val_loss_max': np.float64(150014.46875), 'val_loss_bottom10%': np.float64(85631.694336), 'val_loss_top10%': np.float64(150014.46875), 'val_loss_cos1': np.float64(0.987124), 'val_loss_entropy': np.float64(2.288947)}}
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2024-10-14 11:16:40,833 (server:353) INFO: Server: Starting evaluation at the end of round 1.
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2024-10-14 11:16:40,834 (server:359) INFO: ----------- Starting a new training round (Round #2) -------------
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2024-10-14 11:18:23,865 (client:354) INFO: {'Role': 'Client #2', 'Round': 2, 'Results_raw': {'train_loss': 19.218619, 'val_loss': 18.140616, 'test_loss': 17.884367}}
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2024-10-14 11:19:04,422 (client:354) INFO: {'Role': 'Client #7', 'Round': 2, 'Results_raw': {'train_loss': 13.915834, 'val_loss': 13.049691, 'test_loss': 12.329302}}
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2024-10-14 11:19:46,199 (client:354) INFO: {'Role': 'Client #3', 'Round': 2, 'Results_raw': {'train_loss': 21.494321, 'val_loss': 19.75668, 'test_loss': 19.782908}}
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2024-10-14 11:20:27,230 (client:354) INFO: {'Role': 'Client #6', 'Round': 2, 'Results_raw': {'train_loss': 14.811318, 'val_loss': 14.609081, 'test_loss': 14.438467}}
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2024-10-14 11:21:07,534 (client:354) INFO: {'Role': 'Client #8', 'Round': 2, 'Results_raw': {'train_loss': 19.028091, 'val_loss': 17.356022, 'test_loss': 15.927263}}
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2024-10-14 11:21:47,881 (client:354) INFO: {'Role': 'Client #9', 'Round': 2, 'Results_raw': {'train_loss': 18.633116, 'val_loss': 18.295676, 'test_loss': 17.048957}}
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2024-10-14 11:22:27,161 (client:354) INFO: {'Role': 'Client #10', 'Round': 2, 'Results_raw': {'train_loss': 17.542833, 'val_loss': 16.130766, 'test_loss': 16.196881}}
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2024-10-14 11:23:12,644 (client:354) INFO: {'Role': 'Client #1', 'Round': 2, 'Results_raw': {'train_loss': 24.368009, 'val_loss': 21.803336, 'test_loss': 21.867871}}
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2024-10-14 11:23:49,276 (client:354) INFO: {'Role': 'Client #4', 'Round': 2, 'Results_raw': {'train_loss': 18.377879, 'val_loss': 15.751692, 'test_loss': 15.655587}}
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2024-10-14 11:24:29,626 (client:354) INFO: {'Role': 'Client #5', 'Round': 2, 'Results_raw': {'train_loss': 16.258445, 'val_loss': 14.309111, 'test_loss': 14.057256}}
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2024-10-14 11:24:29,631 (server:615) INFO: {'Role': 'Server #', 'Round': 1, 'Results_weighted_avg': {'test_avg_loss': np.float64(25.605748), 'test_loss': np.float64(90132.233783), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(26.500444), 'val_loss': np.float64(93281.561597), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(25.605748), 'test_loss': np.float64(90132.233783), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(26.500444), 'val_loss': np.float64(93281.561597), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(4.298433), 'test_avg_loss_bottom_decile': np.float64(19.212973), 'test_avg_loss_top_decile': np.float64(33.587378), 'test_avg_loss_min': np.float64(18.40385), 'test_avg_loss_max': np.float64(33.587378), 'test_avg_loss_bottom10%': np.float64(18.40385), 'test_avg_loss_top10%': np.float64(33.587378), 'test_avg_loss_cos1': np.float64(0.986201), 'test_avg_loss_entropy': np.float64(2.288224), 'test_loss_std': np.float64(15130.483763), 'test_loss_bottom_decile': np.float64(67629.664612), 'test_loss_top_decile': np.float64(118227.571899), 'test_loss_min': np.float64(64781.553711), 'test_loss_max': np.float64(118227.571899), 'test_loss_bottom10%': np.float64(64781.553711), 'test_loss_top10%': np.float64(118227.571899), 'test_loss_cos1': np.float64(0.986201), 'test_loss_entropy': np.float64(2.288224), 'val_avg_loss_std': np.float64(4.309074), 'val_avg_loss_bottom_decile': np.float64(20.022856), 'val_avg_loss_top_decile': np.float64(34.374799), 'val_avg_loss_min': np.float64(19.27824), 'val_avg_loss_max': np.float64(34.374799), 'val_avg_loss_bottom10%': np.float64(19.27824), 'val_avg_loss_top10%': np.float64(34.374799), 'val_avg_loss_cos1': np.float64(0.987037), 'val_avg_loss_entropy': np.float64(2.289099), 'val_loss_std': np.float64(15167.940841), 'val_loss_bottom_decile': np.float64(70480.454285), 'val_loss_top_decile': np.float64(120999.290771), 'val_loss_min': np.float64(67859.406494), 'val_loss_max': np.float64(120999.290771), 'val_loss_bottom10%': np.float64(67859.406494), 'val_loss_top10%': np.float64(120999.290771), 'val_loss_cos1': np.float64(0.987037), 'val_loss_entropy': np.float64(2.289099)}}
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2024-10-14 11:24:29,671 (server:353) INFO: Server: Starting evaluation at the end of round 2.
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2024-10-14 11:24:29,672 (server:359) INFO: ----------- Starting a new training round (Round #3) -------------
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2024-10-14 11:26:16,350 (client:354) INFO: {'Role': 'Client #1', 'Round': 3, 'Results_raw': {'train_loss': 23.422386, 'val_loss': 20.845393, 'test_loss': 21.075029}}
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2024-10-14 11:26:58,983 (client:354) INFO: {'Role': 'Client #8', 'Round': 3, 'Results_raw': {'train_loss': 18.241886, 'val_loss': 16.645851, 'test_loss': 15.329249}}
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2024-10-14 11:27:40,092 (client:354) INFO: {'Role': 'Client #6', 'Round': 3, 'Results_raw': {'train_loss': 14.378224, 'val_loss': 13.812382, 'test_loss': 13.572749}}
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2024-10-14 11:28:29,573 (client:354) INFO: {'Role': 'Client #3', 'Round': 3, 'Results_raw': {'train_loss': 20.741149, 'val_loss': 19.167724, 'test_loss': 19.190808}}
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2024-10-14 11:29:23,891 (client:354) INFO: {'Role': 'Client #4', 'Round': 3, 'Results_raw': {'train_loss': 17.513814, 'val_loss': 15.437471, 'test_loss': 15.407438}}
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2024-10-14 11:30:15,297 (client:354) INFO: {'Role': 'Client #10', 'Round': 3, 'Results_raw': {'train_loss': 17.012257, 'val_loss': 15.746253, 'test_loss': 16.006335}}
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2024-10-14 11:30:56,891 (client:354) INFO: {'Role': 'Client #7', 'Round': 3, 'Results_raw': {'train_loss': 13.650686, 'val_loss': 12.988442, 'test_loss': 12.245093}}
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2024-10-14 11:31:35,990 (client:354) INFO: {'Role': 'Client #5', 'Round': 3, 'Results_raw': {'train_loss': 15.60458, 'val_loss': 13.994604, 'test_loss': 13.794651}}
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2024-10-14 11:32:18,337 (client:354) INFO: {'Role': 'Client #9', 'Round': 3, 'Results_raw': {'train_loss': 18.099869, 'val_loss': 17.548678, 'test_loss': 16.253338}}
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2024-10-14 11:33:00,477 (client:354) INFO: {'Role': 'Client #2', 'Round': 3, 'Results_raw': {'train_loss': 18.67109, 'val_loss': 18.068166, 'test_loss': 17.738543}}
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2024-10-14 11:33:00,482 (server:615) INFO: {'Role': 'Server #', 'Round': 2, 'Results_weighted_avg': {'test_avg_loss': np.float64(23.202302), 'test_loss': np.float64(81672.103473), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(24.041853), 'val_loss': np.float64(84627.3229), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(23.202302), 'test_loss': np.float64(81672.103473), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(24.041853), 'val_loss': np.float64(84627.3229), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(3.871537), 'test_avg_loss_bottom_decile': np.float64(17.470497), 'test_avg_loss_top_decile': np.float64(30.709185), 'test_avg_loss_min': np.float64(17.382881), 'test_avg_loss_max': np.float64(30.709185), 'test_avg_loss_bottom10%': np.float64(17.382881), 'test_avg_loss_top10%': np.float64(30.709185), 'test_avg_loss_cos1': np.float64(0.986363), 'test_avg_loss_entropy': np.float64(2.288558), 'test_loss_std': np.float64(13627.811538), 'test_loss_bottom_decile': np.float64(61496.15094), 'test_loss_top_decile': np.float64(108096.332458), 'test_loss_min': np.float64(61187.741272), 'test_loss_max': np.float64(108096.332458), 'test_loss_bottom10%': np.float64(61187.741272), 'test_loss_top10%': np.float64(108096.332458), 'test_loss_cos1': np.float64(0.986363), 'test_loss_entropy': np.float64(2.288558), 'val_avg_loss_std': np.float64(3.866061), 'val_avg_loss_bottom_decile': np.float64(18.289193), 'val_avg_loss_top_decile': np.float64(31.41314), 'val_avg_loss_min': np.float64(18.276148), 'val_avg_loss_max': np.float64(31.41314), 'val_avg_loss_bottom10%': np.float64(18.276148), 'val_avg_loss_top10%': np.float64(31.41314), 'val_avg_loss_cos1': np.float64(0.987316), 'val_avg_loss_entropy': np.float64(2.28955), 'val_loss_std': np.float64(13608.535024), 'val_loss_bottom_decile': np.float64(64377.957886), 'val_loss_top_decile': np.float64(110574.251343), 'val_loss_min': np.float64(64332.041626), 'val_loss_max': np.float64(110574.251343), 'val_loss_bottom10%': np.float64(64332.041626), 'val_loss_top10%': np.float64(110574.251343), 'val_loss_cos1': np.float64(0.987316), 'val_loss_entropy': np.float64(2.28955)}}
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2024-10-14 11:33:00,522 (server:353) INFO: Server: Starting evaluation at the end of round 3.
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2024-10-14 11:33:00,522 (server:359) INFO: ----------- Starting a new training round (Round #4) -------------
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2024-10-14 11:34:49,042 (client:354) INFO: {'Role': 'Client #3', 'Round': 4, 'Results_raw': {'train_loss': 20.131478, 'val_loss': 18.854474, 'test_loss': 18.850639}}
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2024-10-14 11:35:29,158 (client:354) INFO: {'Role': 'Client #1', 'Round': 4, 'Results_raw': {'train_loss': 22.694298, 'val_loss': 21.085964, 'test_loss': 21.337865}}
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2024-10-14 11:36:10,047 (client:354) INFO: {'Role': 'Client #10', 'Round': 4, 'Results_raw': {'train_loss': 16.452351, 'val_loss': 15.691155, 'test_loss': 15.829417}}
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2024-10-14 11:36:53,936 (client:354) INFO: {'Role': 'Client #6', 'Round': 4, 'Results_raw': {'train_loss': 13.88629, 'val_loss': 13.676552, 'test_loss': 13.675896}}
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2024-10-14 11:37:35,307 (client:354) INFO: {'Role': 'Client #5', 'Round': 4, 'Results_raw': {'train_loss': 14.941534, 'val_loss': 13.823143, 'test_loss': 13.716528}}
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2024-10-14 11:38:16,900 (client:354) INFO: {'Role': 'Client #2', 'Round': 4, 'Results_raw': {'train_loss': 18.07952, 'val_loss': 17.715749, 'test_loss': 17.462549}}
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2024-10-14 11:38:59,988 (client:354) INFO: {'Role': 'Client #8', 'Round': 4, 'Results_raw': {'train_loss': 17.690749, 'val_loss': 16.47757, 'test_loss': 15.117375}}
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2024-10-14 11:39:42,090 (client:354) INFO: {'Role': 'Client #9', 'Round': 4, 'Results_raw': {'train_loss': 17.514323, 'val_loss': 17.353233, 'test_loss': 16.07212}}
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2024-10-14 11:40:24,802 (client:354) INFO: {'Role': 'Client #7', 'Round': 4, 'Results_raw': {'train_loss': 13.324218, 'val_loss': 12.406787, 'test_loss': 11.681341}}
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2024-10-14 11:41:06,415 (client:354) INFO: {'Role': 'Client #4', 'Round': 4, 'Results_raw': {'train_loss': 17.124784, 'val_loss': 15.192272, 'test_loss': 15.26238}}
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2024-10-14 11:41:06,419 (server:615) INFO: {'Role': 'Server #', 'Round': 3, 'Results_weighted_avg': {'test_avg_loss': np.float64(22.838102), 'test_loss': np.float64(80390.119012), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(23.630872), 'val_loss': np.float64(83180.670264), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(22.838102), 'test_loss': np.float64(80390.119012), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(23.630872), 'val_loss': np.float64(83180.670264), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(3.666162), 'test_avg_loss_bottom_decile': np.float64(17.862379), 'test_avg_loss_top_decile': np.float64(30.099791), 'test_avg_loss_min': np.float64(17.704529), 'test_avg_loss_max': np.float64(30.099791), 'test_avg_loss_bottom10%': np.float64(17.704529), 'test_avg_loss_top10%': np.float64(30.099791), 'test_avg_loss_cos1': np.float64(0.987359), 'test_avg_loss_entropy': np.float64(2.289714), 'test_loss_std': np.float64(12904.890767), 'test_loss_bottom_decile': np.float64(62875.574036), 'test_loss_top_decile': np.float64(105951.265503), 'test_loss_min': np.float64(62319.940735), 'test_loss_max': np.float64(105951.265503), 'test_loss_bottom10%': np.float64(62319.940735), 'test_loss_top10%': np.float64(105951.265503), 'test_loss_cos1': np.float64(0.987359), 'test_loss_entropy': np.float64(2.289714), 'val_avg_loss_std': np.float64(3.647771), 'val_avg_loss_bottom_decile': np.float64(18.748099), 'val_avg_loss_top_decile': np.float64(30.682389), 'val_avg_loss_min': np.float64(18.553718), 'val_avg_loss_max': np.float64(30.682389), 'val_avg_loss_bottom10%': np.float64(18.553718), 'val_avg_loss_top10%': np.float64(30.682389), 'val_avg_loss_cos1': np.float64(0.988295), 'val_avg_loss_entropy': np.float64(2.290672), 'val_loss_std': np.float64(12840.153983), 'val_loss_bottom_decile': np.float64(65993.306824), 'val_loss_top_decile': np.float64(108002.008423), 'val_loss_min': np.float64(65309.086304), 'val_loss_max': np.float64(108002.008423), 'val_loss_bottom10%': np.float64(65309.086304), 'val_loss_top10%': np.float64(108002.008423), 'val_loss_cos1': np.float64(0.988295), 'val_loss_entropy': np.float64(2.290672)}}
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2024-10-14 11:41:06,464 (server:353) INFO: Server: Starting evaluation at the end of round 4.
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2024-10-14 11:41:06,464 (server:359) INFO: ----------- Starting a new training round (Round #5) -------------
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2024-10-14 11:43:02,784 (client:354) INFO: {'Role': 'Client #2', 'Round': 5, 'Results_raw': {'train_loss': 17.753456, 'val_loss': 17.577344, 'test_loss': 17.257074}}
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2024-10-14 11:43:46,559 (client:354) INFO: {'Role': 'Client #5', 'Round': 5, 'Results_raw': {'train_loss': 14.362518, 'val_loss': 13.196517, 'test_loss': 13.074213}}
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2024-10-14 11:44:28,948 (client:354) INFO: {'Role': 'Client #10', 'Round': 5, 'Results_raw': {'train_loss': 16.115163, 'val_loss': 15.421028, 'test_loss': 15.728147}}
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2024-10-14 11:45:11,980 (client:354) INFO: {'Role': 'Client #6', 'Round': 5, 'Results_raw': {'train_loss': 13.617251, 'val_loss': 13.571923, 'test_loss': 13.551014}}
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2024-10-14 11:45:52,990 (client:354) INFO: {'Role': 'Client #4', 'Round': 5, 'Results_raw': {'train_loss': 16.720201, 'val_loss': 14.962341, 'test_loss': 14.895318}}
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2024-10-14 11:46:32,337 (client:354) INFO: {'Role': 'Client #1', 'Round': 5, 'Results_raw': {'train_loss': 22.49461, 'val_loss': 20.638866, 'test_loss': 20.907769}}
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2024-10-14 11:47:16,030 (client:354) INFO: {'Role': 'Client #9', 'Round': 5, 'Results_raw': {'train_loss': 17.310294, 'val_loss': 17.315886, 'test_loss': 16.002506}}
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2024-10-14 11:47:56,556 (client:354) INFO: {'Role': 'Client #8', 'Round': 5, 'Results_raw': {'train_loss': 17.266211, 'val_loss': 16.464372, 'test_loss': 15.071249}}
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2024-10-14 11:48:37,564 (client:354) INFO: {'Role': 'Client #7', 'Round': 5, 'Results_raw': {'train_loss': 12.94392, 'val_loss': 12.424393, 'test_loss': 11.784736}}
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2024-10-14 11:49:18,808 (client:354) INFO: {'Role': 'Client #3', 'Round': 5, 'Results_raw': {'train_loss': 19.817432, 'val_loss': 19.028657, 'test_loss': 18.981156}}
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2024-10-14 11:49:18,812 (server:615) INFO: {'Role': 'Server #', 'Round': 4, 'Results_weighted_avg': {'test_avg_loss': np.float64(22.496807), 'test_loss': np.float64(79188.761047), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(23.286216), 'val_loss': np.float64(81967.478589), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(22.496807), 'test_loss': np.float64(79188.761047), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(23.286216), 'val_loss': np.float64(81967.478589), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(3.331767), 'test_avg_loss_bottom_decile': np.float64(18.363328), 'test_avg_loss_top_decile': np.float64(28.906647), 'test_avg_loss_min': np.float64(18.037135), 'test_avg_loss_max': np.float64(28.906647), 'test_avg_loss_bottom10%': np.float64(18.037135), 'test_avg_loss_top10%': np.float64(28.906647), 'test_avg_loss_cos1': np.float64(0.98921), 'test_avg_loss_entropy': np.float64(2.291646), 'test_loss_std': np.float64(11727.818396), 'test_loss_bottom_decile': np.float64(64638.915344), 'test_loss_top_decile': np.float64(101751.396606), 'test_loss_min': np.float64(63490.71521), 'test_loss_max': np.float64(101751.396606), 'test_loss_bottom10%': np.float64(63490.71521), 'test_loss_top10%': np.float64(101751.396606), 'test_loss_cos1': np.float64(0.98921), 'test_loss_entropy': np.float64(2.291646), 'val_avg_loss_std': np.float64(3.31345), 'val_avg_loss_bottom_decile': np.float64(19.233529), 'val_avg_loss_top_decile': np.float64(29.430882), 'val_avg_loss_min': np.float64(18.901302), 'val_avg_loss_max': np.float64(29.430882), 'val_avg_loss_bottom10%': np.float64(18.901302), 'val_avg_loss_top10%': np.float64(29.430882), 'val_avg_loss_cos1': np.float64(0.990028), 'val_avg_loss_entropy': np.float64(2.292468), 'val_loss_std': np.float64(11663.342509), 'val_loss_bottom_decile': np.float64(67702.020508), 'val_loss_top_decile': np.float64(103596.705811), 'val_loss_min': np.float64(66532.58429), 'val_loss_max': np.float64(103596.705811), 'val_loss_bottom10%': np.float64(66532.58429), 'val_loss_top10%': np.float64(103596.705811), 'val_loss_cos1': np.float64(0.990028), 'val_loss_entropy': np.float64(2.292468)}}
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2024-10-14 11:49:18,848 (server:353) INFO: Server: Starting evaluation at the end of round 5.
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2024-10-14 11:49:18,848 (server:359) INFO: ----------- Starting a new training round (Round #6) -------------
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2024-10-14 11:51:12,045 (client:354) INFO: {'Role': 'Client #6', 'Round': 6, 'Results_raw': {'train_loss': 13.491913, 'val_loss': 13.386271, 'test_loss': 13.469474}}
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2024-10-14 11:51:55,034 (client:354) INFO: {'Role': 'Client #5', 'Round': 6, 'Results_raw': {'train_loss': 14.000461, 'val_loss': 13.084894, 'test_loss': 13.029522}}
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2024-10-14 11:52:35,552 (client:354) INFO: {'Role': 'Client #9', 'Round': 6, 'Results_raw': {'train_loss': 17.144451, 'val_loss': 17.056277, 'test_loss': 15.772694}}
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2024-10-14 11:53:18,787 (client:354) INFO: {'Role': 'Client #2', 'Round': 6, 'Results_raw': {'train_loss': 17.536583, 'val_loss': 17.6817, 'test_loss': 17.32974}}
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2024-10-14 11:54:01,047 (client:354) INFO: {'Role': 'Client #4', 'Round': 6, 'Results_raw': {'train_loss': 16.579934, 'val_loss': 14.771214, 'test_loss': 14.880824}}
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2024-10-14 11:54:42,070 (client:354) INFO: {'Role': 'Client #8', 'Round': 6, 'Results_raw': {'train_loss': 17.154145, 'val_loss': 16.51927, 'test_loss': 15.36668}}
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2024-10-14 11:55:24,961 (client:354) INFO: {'Role': 'Client #7', 'Round': 6, 'Results_raw': {'train_loss': 12.681888, 'val_loss': 12.31649, 'test_loss': 11.615095}}
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2024-10-14 11:56:09,301 (client:354) INFO: {'Role': 'Client #1', 'Round': 6, 'Results_raw': {'train_loss': 22.18054, 'val_loss': 20.390793, 'test_loss': 20.615321}}
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2024-10-14 11:56:51,230 (client:354) INFO: {'Role': 'Client #3', 'Round': 6, 'Results_raw': {'train_loss': 19.593469, 'val_loss': 18.662408, 'test_loss': 18.70859}}
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2024-10-14 11:57:35,283 (client:354) INFO: {'Role': 'Client #10', 'Round': 6, 'Results_raw': {'train_loss': 15.928055, 'val_loss': 15.074633, 'test_loss': 15.395151}}
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2024-10-14 11:57:35,287 (server:615) INFO: {'Role': 'Server #', 'Round': 5, 'Results_weighted_avg': {'test_avg_loss': np.float64(22.100438), 'test_loss': np.float64(77793.540112), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.87665), 'val_loss': np.float64(80525.809338), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(22.100438), 'test_loss': np.float64(77793.540112), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.87665), 'val_loss': np.float64(80525.809338), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(3.13909), 'test_avg_loss_bottom_decile': np.float64(18.394339), 'test_avg_loss_top_decile': np.float64(28.416495), 'test_avg_loss_min': np.float64(18.141743), 'test_avg_loss_max': np.float64(28.416495), 'test_avg_loss_bottom10%': np.float64(18.141743), 'test_avg_loss_top10%': np.float64(28.416495), 'test_avg_loss_cos1': np.float64(0.990063), 'test_avg_loss_entropy': np.float64(2.292585), 'test_loss_std': np.float64(11049.595068), 'test_loss_bottom_decile': np.float64(64748.073669), 'test_loss_top_decile': np.float64(100026.060669), 'test_loss_min': np.float64(63858.935669), 'test_loss_max': np.float64(100026.060669), 'test_loss_bottom10%': np.float64(63858.935669), 'test_loss_top10%': np.float64(100026.060669), 'test_loss_cos1': np.float64(0.990063), 'test_loss_entropy': np.float64(2.292585), 'val_avg_loss_std': np.float64(3.116042), 'val_avg_loss_bottom_decile': np.float64(19.170619), 'val_avg_loss_top_decile': np.float64(28.95436), 'val_avg_loss_min': np.float64(19.008803), 'val_avg_loss_max': np.float64(28.95436), 'val_avg_loss_bottom10%': np.float64(19.008803), 'val_avg_loss_top10%': np.float64(28.95436), 'val_avg_loss_cos1': np.float64(0.99085), 'val_avg_loss_entropy': np.float64(2.293371), 'val_loss_std': np.float64(10968.466086), 'val_loss_bottom_decile': np.float64(67480.578369), 'val_loss_top_decile': np.float64(101919.347656), 'val_loss_min': np.float64(66910.985229), 'val_loss_max': np.float64(101919.347656), 'val_loss_bottom10%': np.float64(66910.985229), 'val_loss_top10%': np.float64(101919.347656), 'val_loss_cos1': np.float64(0.99085), 'val_loss_entropy': np.float64(2.293371)}}
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2024-10-14 11:57:35,336 (server:353) INFO: Server: Starting evaluation at the end of round 6.
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2024-10-14 11:57:35,337 (server:359) INFO: ----------- Starting a new training round (Round #7) -------------
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2024-10-14 11:59:25,513 (client:354) INFO: {'Role': 'Client #8', 'Round': 7, 'Results_raw': {'train_loss': 16.704616, 'val_loss': 15.715372, 'test_loss': 14.443651}}
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2024-10-14 12:00:04,860 (client:354) INFO: {'Role': 'Client #4', 'Round': 7, 'Results_raw': {'train_loss': 16.41915, 'val_loss': 14.552243, 'test_loss': 14.747127}}
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2024-10-14 12:00:45,029 (client:354) INFO: {'Role': 'Client #6', 'Round': 7, 'Results_raw': {'train_loss': 13.225437, 'val_loss': 13.285441, 'test_loss': 13.441477}}
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2024-10-14 12:01:25,380 (client:354) INFO: {'Role': 'Client #10', 'Round': 7, 'Results_raw': {'train_loss': 15.706522, 'val_loss': 14.877242, 'test_loss': 15.264342}}
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2024-10-14 12:02:01,197 (client:354) INFO: {'Role': 'Client #9', 'Round': 7, 'Results_raw': {'train_loss': 16.870205, 'val_loss': 16.94471, 'test_loss': 15.704821}}
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2024-10-14 12:02:34,891 (client:354) INFO: {'Role': 'Client #7', 'Round': 7, 'Results_raw': {'train_loss': 12.656317, 'val_loss': 12.438126, 'test_loss': 11.77621}}
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2024-10-14 12:03:10,593 (client:354) INFO: {'Role': 'Client #1', 'Round': 7, 'Results_raw': {'train_loss': 22.034383, 'val_loss': 20.181182, 'test_loss': 20.565134}}
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2024-10-14 12:03:46,811 (client:354) INFO: {'Role': 'Client #3', 'Round': 7, 'Results_raw': {'train_loss': 19.431485, 'val_loss': 18.744441, 'test_loss': 18.692134}}
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2024-10-14 12:04:20,428 (client:354) INFO: {'Role': 'Client #5', 'Round': 7, 'Results_raw': {'train_loss': 13.917981, 'val_loss': 12.841637, 'test_loss': 12.725804}}
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2024-10-14 12:04:55,799 (client:354) INFO: {'Role': 'Client #2', 'Round': 7, 'Results_raw': {'train_loss': 17.346899, 'val_loss': 17.204159, 'test_loss': 17.091242}}
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2024-10-14 12:04:55,805 (server:615) INFO: {'Role': 'Server #', 'Round': 6, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.911818), 'test_loss': np.float64(77129.600629), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.680916), 'val_loss': np.float64(79836.824823), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.911818), 'test_loss': np.float64(77129.600629), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.680916), 'val_loss': np.float64(79836.824823), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.987431), 'test_avg_loss_bottom_decile': np.float64(18.279824), 'test_avg_loss_top_decile': np.float64(27.843759), 'test_avg_loss_min': np.float64(18.250158), 'test_avg_loss_max': np.float64(27.843759), 'test_avg_loss_bottom10%': np.float64(18.250158), 'test_avg_loss_top10%': np.float64(27.843759), 'test_avg_loss_cos1': np.float64(0.990833), 'test_avg_loss_entropy': np.float64(2.293364), 'test_loss_std': np.float64(10515.756897), 'test_loss_bottom_decile': np.float64(64344.979675), 'test_loss_top_decile': np.float64(98010.031311), 'test_loss_min': np.float64(64240.554688), 'test_loss_max': np.float64(98010.031311), 'test_loss_bottom10%': np.float64(64240.554688), 'test_loss_top10%': np.float64(98010.031311), 'test_loss_cos1': np.float64(0.990833), 'test_loss_entropy': np.float64(2.293364), 'val_avg_loss_std': np.float64(2.967497), 'val_avg_loss_bottom_decile': np.float64(19.132151), 'val_avg_loss_top_decile': np.float64(28.381708), 'val_avg_loss_min': np.float64(19.015525), 'val_avg_loss_max': np.float64(28.381708), 'val_avg_loss_bottom10%': np.float64(19.015525), 'val_avg_loss_top10%': np.float64(28.381708), 'val_avg_loss_cos1': np.float64(0.991549), 'val_avg_loss_entropy': np.float64(2.294076), 'val_loss_std': np.float64(10445.590542), 'val_loss_bottom_decile': np.float64(67345.170776), 'val_loss_top_decile': np.float64(99903.610657), 'val_loss_min': np.float64(66934.647156), 'val_loss_max': np.float64(99903.610657), 'val_loss_bottom10%': np.float64(66934.647156), 'val_loss_top10%': np.float64(99903.610657), 'val_loss_cos1': np.float64(0.991549), 'val_loss_entropy': np.float64(2.294076)}}
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2024-10-14 12:04:55,850 (server:353) INFO: Server: Starting evaluation at the end of round 7.
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2024-10-14 12:04:55,850 (server:359) INFO: ----------- Starting a new training round (Round #8) -------------
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2024-10-14 12:06:34,218 (client:354) INFO: {'Role': 'Client #6', 'Round': 8, 'Results_raw': {'train_loss': 13.074705, 'val_loss': 13.36324, 'test_loss': 13.624986}}
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2024-10-14 12:07:09,815 (client:354) INFO: {'Role': 'Client #7', 'Round': 8, 'Results_raw': {'train_loss': 12.502486, 'val_loss': 12.162072, 'test_loss': 11.459195}}
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2024-10-14 12:07:45,311 (client:354) INFO: {'Role': 'Client #2', 'Round': 8, 'Results_raw': {'train_loss': 17.163689, 'val_loss': 16.924702, 'test_loss': 16.632581}}
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2024-10-14 12:08:20,301 (client:354) INFO: {'Role': 'Client #4', 'Round': 8, 'Results_raw': {'train_loss': 16.220078, 'val_loss': 14.583067, 'test_loss': 14.652454}}
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2024-10-14 12:08:55,782 (client:354) INFO: {'Role': 'Client #1', 'Round': 8, 'Results_raw': {'train_loss': 21.802202, 'val_loss': 20.444588, 'test_loss': 20.657141}}
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2024-10-14 12:09:31,638 (client:354) INFO: {'Role': 'Client #8', 'Round': 8, 'Results_raw': {'train_loss': 16.461113, 'val_loss': 16.300844, 'test_loss': 15.036351}}
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2024-10-14 12:10:06,443 (client:354) INFO: {'Role': 'Client #5', 'Round': 8, 'Results_raw': {'train_loss': 13.656624, 'val_loss': 13.032245, 'test_loss': 12.834076}}
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2024-10-14 12:10:39,987 (client:354) INFO: {'Role': 'Client #3', 'Round': 8, 'Results_raw': {'train_loss': 19.192448, 'val_loss': 18.512847, 'test_loss': 18.603855}}
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2024-10-14 12:11:14,520 (client:354) INFO: {'Role': 'Client #10', 'Round': 8, 'Results_raw': {'train_loss': 15.584393, 'val_loss': 14.889264, 'test_loss': 15.212344}}
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2024-10-14 12:11:49,681 (client:354) INFO: {'Role': 'Client #9', 'Round': 8, 'Results_raw': {'train_loss': 16.673647, 'val_loss': 17.064896, 'test_loss': 15.799196}}
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2024-10-14 12:11:49,686 (server:615) INFO: {'Role': 'Server #', 'Round': 7, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.780455), 'test_loss': np.float64(76667.202026), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.537513), 'val_loss': np.float64(79332.046893), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.780455), 'test_loss': np.float64(76667.202026), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.537513), 'val_loss': np.float64(79332.046893), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.987705), 'test_avg_loss_bottom_decile': np.float64(18.235499), 'test_avg_loss_top_decile': np.float64(27.714964), 'test_avg_loss_min': np.float64(18.071995), 'test_avg_loss_max': np.float64(27.714964), 'test_avg_loss_bottom10%': np.float64(18.071995), 'test_avg_loss_top10%': np.float64(27.714964), 'test_avg_loss_cos1': np.float64(0.990722), 'test_avg_loss_entropy': np.float64(2.293247), 'test_loss_std': np.float64(10516.720672), 'test_loss_bottom_decile': np.float64(64188.956848), 'test_loss_top_decile': np.float64(97556.674805), 'test_loss_min': np.float64(63613.422119), 'test_loss_max': np.float64(97556.674805), 'test_loss_bottom10%': np.float64(63613.422119), 'test_loss_top10%': np.float64(97556.674805), 'test_loss_cos1': np.float64(0.990722), 'test_loss_entropy': np.float64(2.293247), 'val_avg_loss_std': np.float64(2.947887), 'val_avg_loss_bottom_decile': np.float64(19.089342), 'val_avg_loss_top_decile': np.float64(28.197576), 'val_avg_loss_min': np.float64(18.85552), 'val_avg_loss_max': np.float64(28.197576), 'val_avg_loss_bottom10%': np.float64(18.85552), 'val_avg_loss_top10%': np.float64(28.197576), 'val_avg_loss_cos1': np.float64(0.991554), 'val_avg_loss_entropy': np.float64(2.294076), 'val_loss_std': np.float64(10376.562071), 'val_loss_bottom_decile': np.float64(67194.482544), 'val_loss_top_decile': np.float64(99255.466858), 'val_loss_min': np.float64(66371.429321), 'val_loss_max': np.float64(99255.466858), 'val_loss_bottom10%': np.float64(66371.429321), 'val_loss_top10%': np.float64(99255.466858), 'val_loss_cos1': np.float64(0.991554), 'val_loss_entropy': np.float64(2.294076)}}
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2024-10-14 12:11:49,722 (server:353) INFO: Server: Starting evaluation at the end of round 8.
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2024-10-14 12:11:49,723 (server:359) INFO: ----------- Starting a new training round (Round #9) -------------
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2024-10-14 12:13:21,277 (client:354) INFO: {'Role': 'Client #2', 'Round': 9, 'Results_raw': {'train_loss': 17.070511, 'val_loss': 17.040527, 'test_loss': 16.846874}}
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2024-10-14 12:13:55,529 (client:354) INFO: {'Role': 'Client #9', 'Round': 9, 'Results_raw': {'train_loss': 16.567685, 'val_loss': 16.721267, 'test_loss': 15.405599}}
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2024-10-14 12:14:32,047 (client:354) INFO: {'Role': 'Client #8', 'Round': 9, 'Results_raw': {'train_loss': 16.368154, 'val_loss': 15.796956, 'test_loss': 14.655977}}
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2024-10-14 12:15:07,001 (client:354) INFO: {'Role': 'Client #5', 'Round': 9, 'Results_raw': {'train_loss': 13.586178, 'val_loss': 12.55794, 'test_loss': 12.516525}}
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2024-10-14 12:15:42,287 (client:354) INFO: {'Role': 'Client #1', 'Round': 9, 'Results_raw': {'train_loss': 21.61804, 'val_loss': 20.224453, 'test_loss': 20.765464}}
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2024-10-14 12:16:16,718 (client:354) INFO: {'Role': 'Client #4', 'Round': 9, 'Results_raw': {'train_loss': 16.112152, 'val_loss': 14.561555, 'test_loss': 14.706853}}
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2024-10-14 12:16:51,708 (client:354) INFO: {'Role': 'Client #3', 'Round': 9, 'Results_raw': {'train_loss': 19.091132, 'val_loss': 18.278221, 'test_loss': 18.384356}}
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2024-10-14 12:17:25,836 (client:354) INFO: {'Role': 'Client #6', 'Round': 9, 'Results_raw': {'train_loss': 12.937884, 'val_loss': 13.046554, 'test_loss': 13.295588}}
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2024-10-14 12:18:01,279 (client:354) INFO: {'Role': 'Client #10', 'Round': 9, 'Results_raw': {'train_loss': 15.308438, 'val_loss': 14.784507, 'test_loss': 15.220041}}
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2024-10-14 12:18:34,431 (client:354) INFO: {'Role': 'Client #7', 'Round': 9, 'Results_raw': {'train_loss': 12.406258, 'val_loss': 12.282768, 'test_loss': 11.622313}}
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2024-10-14 12:18:34,433 (server:615) INFO: {'Role': 'Server #', 'Round': 8, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.343511), 'test_loss': np.float64(75129.159973), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.09743), 'val_loss': np.float64(77782.954706), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.343511), 'test_loss': np.float64(75129.159973), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.09743), 'val_loss': np.float64(77782.954706), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.946367), 'test_avg_loss_bottom_decile': np.float64(17.847268), 'test_avg_loss_top_decile': np.float64(27.31073), 'test_avg_loss_min': np.float64(17.713003), 'test_avg_loss_max': np.float64(27.31073), 'test_avg_loss_bottom10%': np.float64(17.713003), 'test_avg_loss_top10%': np.float64(27.31073), 'test_avg_loss_cos1': np.float64(0.990606), 'test_avg_loss_entropy': np.float64(2.293155), 'test_loss_std': np.float64(10371.211108), 'test_loss_bottom_decile': np.float64(62822.381775), 'test_loss_top_decile': np.float64(96133.768433), 'test_loss_min': np.float64(62349.769714), 'test_loss_max': np.float64(96133.768433), 'test_loss_bottom10%': np.float64(62349.769714), 'test_loss_top10%': np.float64(96133.768433), 'test_loss_cos1': np.float64(0.990606), 'test_loss_entropy': np.float64(2.293155), 'val_avg_loss_std': np.float64(2.890554), 'val_avg_loss_bottom_decile': np.float64(18.717717), 'val_avg_loss_top_decile': np.float64(27.794286), 'val_avg_loss_min': np.float64(18.492199), 'val_avg_loss_max': np.float64(27.794286), 'val_avg_loss_bottom10%': np.float64(18.492199), 'val_avg_loss_top10%': np.float64(27.794286), 'val_avg_loss_cos1': np.float64(0.991553), 'val_avg_loss_entropy': np.float64(2.294095), 'val_loss_std': np.float64(10174.750519), 'val_loss_bottom_decile': np.float64(65886.364563), 'val_loss_top_decile': np.float64(97835.885376), 'val_loss_min': np.float64(65092.539795), 'val_loss_max': np.float64(97835.885376), 'val_loss_bottom10%': np.float64(65092.539795), 'val_loss_top10%': np.float64(97835.885376), 'val_loss_cos1': np.float64(0.991553), 'val_loss_entropy': np.float64(2.294095)}}
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2024-10-14 12:18:34,461 (server:353) INFO: Server: Starting evaluation at the end of round 9.
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2024-10-14 12:18:34,461 (server:359) INFO: ----------- Starting a new training round (Round #10) -------------
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2024-10-14 12:20:08,709 (client:354) INFO: {'Role': 'Client #6', 'Round': 10, 'Results_raw': {'train_loss': 12.877744, 'val_loss': 13.129947, 'test_loss': 13.517408}}
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2024-10-14 12:20:42,812 (client:354) INFO: {'Role': 'Client #10', 'Round': 10, 'Results_raw': {'train_loss': 15.195672, 'val_loss': 14.51898, 'test_loss': 14.878333}}
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2024-10-14 12:21:17,706 (client:354) INFO: {'Role': 'Client #4', 'Round': 10, 'Results_raw': {'train_loss': 15.923966, 'val_loss': 14.393062, 'test_loss': 14.504255}}
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2024-10-14 12:21:52,071 (client:354) INFO: {'Role': 'Client #9', 'Round': 10, 'Results_raw': {'train_loss': 16.430323, 'val_loss': 16.91474, 'test_loss': 15.469636}}
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2024-10-14 12:22:27,602 (client:354) INFO: {'Role': 'Client #3', 'Round': 10, 'Results_raw': {'train_loss': 18.989037, 'val_loss': 18.358179, 'test_loss': 18.441321}}
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2024-10-14 12:23:02,672 (client:354) INFO: {'Role': 'Client #1', 'Round': 10, 'Results_raw': {'train_loss': 21.388296, 'val_loss': 20.100374, 'test_loss': 20.362669}}
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2024-10-14 12:23:37,312 (client:354) INFO: {'Role': 'Client #5', 'Round': 10, 'Results_raw': {'train_loss': 13.479083, 'val_loss': 12.593638, 'test_loss': 12.522867}}
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2024-10-14 12:24:14,666 (client:354) INFO: {'Role': 'Client #8', 'Round': 10, 'Results_raw': {'train_loss': 16.220954, 'val_loss': 15.903278, 'test_loss': 14.516484}}
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2024-10-14 12:24:51,081 (client:354) INFO: {'Role': 'Client #2', 'Round': 10, 'Results_raw': {'train_loss': 16.967289, 'val_loss': 16.911237, 'test_loss': 16.773806}}
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2024-10-14 12:25:27,466 (client:354) INFO: {'Role': 'Client #7', 'Round': 10, 'Results_raw': {'train_loss': 12.309084, 'val_loss': 12.014993, 'test_loss': 11.389641}}
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2024-10-14 12:25:27,469 (server:615) INFO: {'Role': 'Server #', 'Round': 9, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.588955), 'test_loss': np.float64(75993.120874), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.338096), 'val_loss': np.float64(78630.09743), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.588955), 'test_loss': np.float64(75993.120874), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.338096), 'val_loss': np.float64(78630.09743), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.90226), 'test_avg_loss_bottom_decile': np.float64(18.177804), 'test_avg_loss_top_decile': np.float64(27.418093), 'test_avg_loss_min': np.float64(17.965366), 'test_avg_loss_max': np.float64(27.418093), 'test_avg_loss_bottom10%': np.float64(17.965366), 'test_avg_loss_top10%': np.float64(27.418093), 'test_avg_loss_cos1': np.float64(0.991085), 'test_avg_loss_entropy': np.float64(2.293631), 'test_loss_std': np.float64(10215.955278), 'test_loss_bottom_decile': np.float64(63985.870361), 'test_loss_top_decile': np.float64(96511.689026), 'test_loss_min': np.float64(63238.087036), 'test_loss_max': np.float64(96511.689026), 'test_loss_bottom10%': np.float64(63238.087036), 'test_loss_top10%': np.float64(96511.689026), 'test_loss_cos1': np.float64(0.991085), 'test_loss_entropy': np.float64(2.293631), 'val_avg_loss_std': np.float64(2.838788), 'val_avg_loss_bottom_decile': np.float64(19.07129), 'val_avg_loss_top_decile': np.float64(27.873266), 'val_avg_loss_min': np.float64(18.767177), 'val_avg_loss_max': np.float64(27.873266), 'val_avg_loss_bottom10%': np.float64(18.767177), 'val_avg_loss_top10%': np.float64(27.873266), 'val_avg_loss_cos1': np.float64(0.992021), 'val_avg_loss_entropy': np.float64(2.294563), 'val_loss_std': np.float64(9992.534407), 'val_loss_bottom_decile': np.float64(67130.941589), 'val_loss_top_decile': np.float64(98113.894653), 'val_loss_min': np.float64(66060.464783), 'val_loss_max': np.float64(98113.894653), 'val_loss_bottom10%': np.float64(66060.464783), 'val_loss_top10%': np.float64(98113.894653), 'val_loss_cos1': np.float64(0.992021), 'val_loss_entropy': np.float64(2.294563)}}
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2024-10-14 12:25:27,503 (server:353) INFO: Server: Starting evaluation at the end of round 10.
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2024-10-14 12:25:27,504 (server:359) INFO: ----------- Starting a new training round (Round #11) -------------
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2024-10-14 12:27:23,164 (client:354) INFO: {'Role': 'Client #4', 'Round': 11, 'Results_raw': {'train_loss': 15.833347, 'val_loss': 14.665491, 'test_loss': 14.834194}}
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2024-10-14 12:28:05,375 (client:354) INFO: {'Role': 'Client #9', 'Round': 11, 'Results_raw': {'train_loss': 16.319116, 'val_loss': 17.015698, 'test_loss': 15.604572}}
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2024-10-14 12:28:48,295 (client:354) INFO: {'Role': 'Client #7', 'Round': 11, 'Results_raw': {'train_loss': 12.259367, 'val_loss': 11.93298, 'test_loss': 11.31265}}
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2024-10-14 12:29:29,318 (client:354) INFO: {'Role': 'Client #5', 'Round': 11, 'Results_raw': {'train_loss': 13.220822, 'val_loss': 12.85127, 'test_loss': 13.075759}}
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2024-10-14 12:30:16,943 (client:354) INFO: {'Role': 'Client #8', 'Round': 11, 'Results_raw': {'train_loss': 15.939435, 'val_loss': 15.933596, 'test_loss': 14.69946}}
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2024-10-14 12:30:59,588 (client:354) INFO: {'Role': 'Client #10', 'Round': 11, 'Results_raw': {'train_loss': 15.114709, 'val_loss': 14.606938, 'test_loss': 14.987296}}
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2024-10-14 12:31:40,142 (client:354) INFO: {'Role': 'Client #1', 'Round': 11, 'Results_raw': {'train_loss': 21.292398, 'val_loss': 19.966618, 'test_loss': 20.218954}}
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2024-10-14 12:32:22,154 (client:354) INFO: {'Role': 'Client #6', 'Round': 11, 'Results_raw': {'train_loss': 12.815091, 'val_loss': 13.185579, 'test_loss': 13.441739}}
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2024-10-14 12:33:04,476 (client:354) INFO: {'Role': 'Client #3', 'Round': 11, 'Results_raw': {'train_loss': 18.811487, 'val_loss': 18.396855, 'test_loss': 18.404186}}
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2024-10-14 12:33:47,172 (client:354) INFO: {'Role': 'Client #2', 'Round': 11, 'Results_raw': {'train_loss': 16.762579, 'val_loss': 16.807165, 'test_loss': 16.675624}}
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2024-10-14 12:33:47,176 (server:615) INFO: {'Role': 'Server #', 'Round': 10, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.431001), 'test_loss': np.float64(75437.124219), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.178289), 'val_loss': np.float64(78067.57572), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.431001), 'test_loss': np.float64(75437.124219), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.178289), 'val_loss': np.float64(78067.57572), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.825503), 'test_avg_loss_bottom_decile': np.float64(18.042818), 'test_avg_loss_top_decile': np.float64(27.177487), 'test_avg_loss_min': np.float64(17.934077), 'test_avg_loss_max': np.float64(27.177487), 'test_avg_loss_bottom10%': np.float64(17.934077), 'test_avg_loss_top10%': np.float64(27.177487), 'test_avg_loss_cos1': np.float64(0.991421), 'test_avg_loss_entropy': np.float64(2.293987), 'test_loss_std': np.float64(9945.771513), 'test_loss_bottom_decile': np.float64(63510.718628), 'test_loss_top_decile': np.float64(95664.755493), 'test_loss_min': np.float64(63127.951965), 'test_loss_max': np.float64(95664.755493), 'test_loss_bottom10%': np.float64(63127.951965), 'test_loss_top10%': np.float64(95664.755493), 'test_loss_cos1': np.float64(0.991421), 'test_loss_entropy': np.float64(2.293987), 'val_avg_loss_std': np.float64(2.756875), 'val_avg_loss_bottom_decile': np.float64(18.919436), 'val_avg_loss_top_decile': np.float64(27.606356), 'val_avg_loss_min': np.float64(18.704279), 'val_avg_loss_max': np.float64(27.606356), 'val_avg_loss_bottom10%': np.float64(18.704279), 'val_avg_loss_top10%': np.float64(27.606356), 'val_avg_loss_cos1': np.float64(0.992363), 'val_avg_loss_entropy': np.float64(2.294918), 'val_loss_std': np.float64(9704.19939), 'val_loss_bottom_decile': np.float64(66596.415649), 'val_loss_top_decile': np.float64(97174.371704), 'val_loss_min': np.float64(65839.062805), 'val_loss_max': np.float64(97174.371704), 'val_loss_bottom10%': np.float64(65839.062805), 'val_loss_top10%': np.float64(97174.371704), 'val_loss_cos1': np.float64(0.992363), 'val_loss_entropy': np.float64(2.294918)}}
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2024-10-14 12:33:47,256 (server:353) INFO: Server: Starting evaluation at the end of round 11.
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2024-10-14 12:33:47,257 (server:359) INFO: ----------- Starting a new training round (Round #12) -------------
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2024-10-14 12:35:35,691 (client:354) INFO: {'Role': 'Client #9', 'Round': 12, 'Results_raw': {'train_loss': 16.355243, 'val_loss': 16.748749, 'test_loss': 15.381526}}
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2024-10-14 12:36:14,157 (client:354) INFO: {'Role': 'Client #2', 'Round': 12, 'Results_raw': {'train_loss': 16.744822, 'val_loss': 16.999779, 'test_loss': 16.866284}}
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2024-10-14 12:36:54,581 (client:354) INFO: {'Role': 'Client #10', 'Round': 12, 'Results_raw': {'train_loss': 15.114305, 'val_loss': 14.622043, 'test_loss': 14.86924}}
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2024-10-14 12:37:37,963 (client:354) INFO: {'Role': 'Client #7', 'Round': 12, 'Results_raw': {'train_loss': 12.199035, 'val_loss': 12.099461, 'test_loss': 11.385171}}
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2024-10-14 12:38:19,044 (client:354) INFO: {'Role': 'Client #3', 'Round': 12, 'Results_raw': {'train_loss': 18.849563, 'val_loss': 18.236971, 'test_loss': 18.450872}}
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2024-10-14 12:39:02,372 (client:354) INFO: {'Role': 'Client #5', 'Round': 12, 'Results_raw': {'train_loss': 13.099894, 'val_loss': 12.358477, 'test_loss': 12.212246}}
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2024-10-14 12:39:42,676 (client:354) INFO: {'Role': 'Client #1', 'Round': 12, 'Results_raw': {'train_loss': 21.198921, 'val_loss': 20.129121, 'test_loss': 20.441948}}
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2024-10-14 12:40:20,188 (client:354) INFO: {'Role': 'Client #6', 'Round': 12, 'Results_raw': {'train_loss': 12.756479, 'val_loss': 13.577946, 'test_loss': 13.861849}}
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2024-10-14 12:41:01,917 (client:354) INFO: {'Role': 'Client #4', 'Round': 12, 'Results_raw': {'train_loss': 15.797761, 'val_loss': 14.211122, 'test_loss': 14.31636}}
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2024-10-14 12:41:44,047 (client:354) INFO: {'Role': 'Client #8', 'Round': 12, 'Results_raw': {'train_loss': 16.07231, 'val_loss': 16.171367, 'test_loss': 14.665846}}
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2024-10-14 12:41:44,061 (server:615) INFO: {'Role': 'Server #', 'Round': 11, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.358134), 'test_loss': np.float64(75180.63064), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.109487), 'val_loss': np.float64(77825.394373), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.358134), 'test_loss': np.float64(75180.63064), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.109487), 'val_loss': np.float64(77825.394373), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.909949), 'test_avg_loss_bottom_decile': np.float64(17.862616), 'test_avg_loss_top_decile': np.float64(27.338946), 'test_avg_loss_min': np.float64(17.829079), 'test_avg_loss_max': np.float64(27.338946), 'test_avg_loss_bottom10%': np.float64(17.829079), 'test_avg_loss_top10%': np.float64(27.338946), 'test_avg_loss_cos1': np.float64(0.990846), 'test_avg_loss_entropy': np.float64(2.293423), 'test_loss_std': np.float64(10243.01934), 'test_loss_bottom_decile': np.float64(62876.40918), 'test_loss_top_decile': np.float64(96233.091064), 'test_loss_min': np.float64(62758.359558), 'test_loss_max': np.float64(96233.091064), 'test_loss_bottom10%': np.float64(62758.359558), 'test_loss_top10%': np.float64(96233.091064), 'test_loss_cos1': np.float64(0.990846), 'test_loss_entropy': np.float64(2.293423), 'val_avg_loss_std': np.float64(2.836658), 'val_avg_loss_bottom_decile': np.float64(18.776538), 'val_avg_loss_top_decile': np.float64(27.780387), 'val_avg_loss_min': np.float64(18.604884), 'val_avg_loss_max': np.float64(27.780387), 'val_avg_loss_bottom10%': np.float64(18.604884), 'val_avg_loss_top10%': np.float64(27.780387), 'val_avg_loss_cos1': np.float64(0.99187), 'val_avg_loss_entropy': np.float64(2.294435), 'val_loss_std': np.float64(9985.03662), 'val_loss_bottom_decile': np.float64(66093.413513), 'val_loss_top_decile': np.float64(97786.962219), 'val_loss_min': np.float64(65489.191467), 'val_loss_max': np.float64(97786.962219), 'val_loss_bottom10%': np.float64(65489.191467), 'val_loss_top10%': np.float64(97786.962219), 'val_loss_cos1': np.float64(0.99187), 'val_loss_entropy': np.float64(2.294435)}}
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2024-10-14 12:41:44,105 (server:353) INFO: Server: Starting evaluation at the end of round 12.
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2024-10-14 12:41:44,106 (server:359) INFO: ----------- Starting a new training round (Round #13) -------------
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2024-10-14 12:43:36,238 (client:354) INFO: {'Role': 'Client #10', 'Round': 13, 'Results_raw': {'train_loss': 14.963918, 'val_loss': 14.627123, 'test_loss': 14.948347}}
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2024-10-14 12:44:15,949 (client:354) INFO: {'Role': 'Client #5', 'Round': 13, 'Results_raw': {'train_loss': 13.057551, 'val_loss': 12.325161, 'test_loss': 12.246191}}
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2024-10-14 12:44:58,387 (client:354) INFO: {'Role': 'Client #7', 'Round': 13, 'Results_raw': {'train_loss': 12.149347, 'val_loss': 11.90153, 'test_loss': 11.226644}}
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2024-10-14 12:45:40,751 (client:354) INFO: {'Role': 'Client #8', 'Round': 13, 'Results_raw': {'train_loss': 15.847387, 'val_loss': 15.533653, 'test_loss': 14.340643}}
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2024-10-14 12:46:24,281 (client:354) INFO: {'Role': 'Client #1', 'Round': 13, 'Results_raw': {'train_loss': 21.107801, 'val_loss': 20.328593, 'test_loss': 20.620844}}
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2024-10-14 12:47:05,460 (client:354) INFO: {'Role': 'Client #9', 'Round': 13, 'Results_raw': {'train_loss': 16.26585, 'val_loss': 16.688276, 'test_loss': 15.405084}}
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2024-10-14 12:47:47,735 (client:354) INFO: {'Role': 'Client #6', 'Round': 13, 'Results_raw': {'train_loss': 12.713266, 'val_loss': 13.058152, 'test_loss': 13.403354}}
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2024-10-14 12:48:30,137 (client:354) INFO: {'Role': 'Client #3', 'Round': 13, 'Results_raw': {'train_loss': 18.651751, 'val_loss': 18.428174, 'test_loss': 18.605874}}
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2024-10-14 12:49:13,510 (client:354) INFO: {'Role': 'Client #2', 'Round': 13, 'Results_raw': {'train_loss': 16.619988, 'val_loss': 16.921447, 'test_loss': 16.784106}}
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2024-10-14 12:49:54,273 (client:354) INFO: {'Role': 'Client #4', 'Round': 13, 'Results_raw': {'train_loss': 15.773013, 'val_loss': 14.219579, 'test_loss': 14.43613}}
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2024-10-14 12:49:54,278 (server:615) INFO: {'Role': 'Server #', 'Round': 12, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.246377), 'test_loss': np.float64(74787.247424), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.984585), 'val_loss': np.float64(77385.74068), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.246377), 'test_loss': np.float64(74787.247424), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.984585), 'val_loss': np.float64(77385.74068), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.840949), 'test_avg_loss_bottom_decile': np.float64(17.803079), 'test_avg_loss_top_decile': np.float64(26.983237), 'test_avg_loss_min': np.float64(17.700164), 'test_avg_loss_max': np.float64(26.983237), 'test_avg_loss_bottom10%': np.float64(17.700164), 'test_avg_loss_top10%': np.float64(26.983237), 'test_avg_loss_cos1': np.float64(0.991178), 'test_avg_loss_entropy': np.float64(2.293741), 'test_loss_std': np.float64(10000.141172), 'test_loss_bottom_decile': np.float64(62666.836365), 'test_loss_top_decile': np.float64(94980.995667), 'test_loss_min': np.float64(62304.576538), 'test_loss_max': np.float64(94980.995667), 'test_loss_bottom10%': np.float64(62304.576538), 'test_loss_top10%': np.float64(94980.995667), 'test_loss_cos1': np.float64(0.991178), 'test_loss_entropy': np.float64(2.293741), 'val_avg_loss_std': np.float64(2.769555), 'val_avg_loss_bottom_decile': np.float64(18.670727), 'val_avg_loss_top_decile': np.float64(27.409922), 'val_avg_loss_min': np.float64(18.480442), 'val_avg_loss_max': np.float64(27.409922), 'val_avg_loss_bottom10%': np.float64(18.480442), 'val_avg_loss_top10%': np.float64(27.409922), 'val_avg_loss_cos1': np.float64(0.992158), 'val_avg_loss_entropy': np.float64(2.294711), 'val_loss_std': np.float64(9748.83374), 'val_loss_bottom_decile': np.float64(65720.960632), 'val_loss_top_decile': np.float64(96482.923706), 'val_loss_min': np.float64(65051.155151), 'val_loss_max': np.float64(96482.923706), 'val_loss_bottom10%': np.float64(65051.155151), 'val_loss_top10%': np.float64(96482.923706), 'val_loss_cos1': np.float64(0.992158), 'val_loss_entropy': np.float64(2.294711)}}
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2024-10-14 12:49:54,315 (server:353) INFO: Server: Starting evaluation at the end of round 13.
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2024-10-14 12:49:54,316 (server:359) INFO: ----------- Starting a new training round (Round #14) -------------
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2024-10-14 12:51:43,681 (client:354) INFO: {'Role': 'Client #9', 'Round': 14, 'Results_raw': {'train_loss': 16.19568, 'val_loss': 16.791189, 'test_loss': 15.460969}}
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2024-10-14 12:52:24,945 (client:354) INFO: {'Role': 'Client #4', 'Round': 14, 'Results_raw': {'train_loss': 15.690172, 'val_loss': 14.069728, 'test_loss': 14.331959}}
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2024-10-14 12:53:06,015 (client:354) INFO: {'Role': 'Client #8', 'Round': 14, 'Results_raw': {'train_loss': 15.860844, 'val_loss': 15.703544, 'test_loss': 14.446412}}
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2024-10-14 12:53:47,939 (client:354) INFO: {'Role': 'Client #6', 'Round': 14, 'Results_raw': {'train_loss': 12.624728, 'val_loss': 12.984685, 'test_loss': 13.334092}}
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2024-10-14 12:54:30,635 (client:354) INFO: {'Role': 'Client #7', 'Round': 14, 'Results_raw': {'train_loss': 12.143179, 'val_loss': 12.17498, 'test_loss': 11.514557}}
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2024-10-14 12:55:16,165 (client:354) INFO: {'Role': 'Client #5', 'Round': 14, 'Results_raw': {'train_loss': 12.992441, 'val_loss': 12.437093, 'test_loss': 12.697779}}
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2024-10-14 12:56:07,908 (client:354) INFO: {'Role': 'Client #3', 'Round': 14, 'Results_raw': {'train_loss': 18.686095, 'val_loss': 18.371944, 'test_loss': 18.570117}}
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2024-10-14 12:56:56,754 (client:354) INFO: {'Role': 'Client #10', 'Round': 14, 'Results_raw': {'train_loss': 14.853344, 'val_loss': 14.253949, 'test_loss': 14.647024}}
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2024-10-14 12:57:36,741 (client:354) INFO: {'Role': 'Client #1', 'Round': 14, 'Results_raw': {'train_loss': 21.033045, 'val_loss': 19.786607, 'test_loss': 20.083486}}
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2024-10-14 12:58:16,320 (client:354) INFO: {'Role': 'Client #2', 'Round': 14, 'Results_raw': {'train_loss': 16.633952, 'val_loss': 16.724624, 'test_loss': 16.589658}}
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2024-10-14 12:58:16,325 (server:615) INFO: {'Role': 'Server #', 'Round': 13, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.263409), 'test_loss': np.float64(74847.199231), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.998113), 'val_loss': np.float64(77433.356598), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.263409), 'test_loss': np.float64(74847.199231), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.998113), 'val_loss': np.float64(77433.356598), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.821169), 'test_avg_loss_bottom_decile': np.float64(17.902761), 'test_avg_loss_top_decile': np.float64(27.084479), 'test_avg_loss_min': np.float64(17.765183), 'test_avg_loss_max': np.float64(27.084479), 'test_avg_loss_bottom10%': np.float64(17.765183), 'test_avg_loss_top10%': np.float64(27.084479), 'test_avg_loss_cos1': np.float64(0.991313), 'test_avg_loss_entropy': np.float64(2.293898), 'test_loss_std': np.float64(9930.51331), 'test_loss_bottom_decile': np.float64(63017.720276), 'test_loss_top_decile': np.float64(95337.365173), 'test_loss_min': np.float64(62533.44281), 'test_loss_max': np.float64(95337.365173), 'test_loss_bottom10%': np.float64(62533.44281), 'test_loss_top10%': np.float64(95337.365173), 'test_loss_cos1': np.float64(0.991313), 'test_loss_entropy': np.float64(2.293898), 'val_avg_loss_std': np.float64(2.734817), 'val_avg_loss_bottom_decile': np.float64(18.796263), 'val_avg_loss_top_decile': np.float64(27.476536), 'val_avg_loss_min': np.float64(18.544763), 'val_avg_loss_max': np.float64(27.476536), 'val_avg_loss_bottom10%': np.float64(18.544763), 'val_avg_loss_top10%': np.float64(27.476536), 'val_avg_loss_cos1': np.float64(0.992361), 'val_avg_loss_entropy': np.float64(2.29493), 'val_loss_std': np.float64(9626.555255), 'val_loss_bottom_decile': np.float64(66162.847046), 'val_loss_top_decile': np.float64(96717.406677), 'val_loss_min': np.float64(65277.56427), 'val_loss_max': np.float64(96717.406677), 'val_loss_bottom10%': np.float64(65277.56427), 'val_loss_top10%': np.float64(96717.406677), 'val_loss_cos1': np.float64(0.992361), 'val_loss_entropy': np.float64(2.29493)}}
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2024-10-14 12:58:16,366 (server:353) INFO: Server: Starting evaluation at the end of round 14.
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2024-10-14 12:58:16,367 (server:359) INFO: ----------- Starting a new training round (Round #15) -------------
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2024-10-14 13:00:07,993 (client:354) INFO: {'Role': 'Client #7', 'Round': 15, 'Results_raw': {'train_loss': 12.037761, 'val_loss': 11.911895, 'test_loss': 11.281274}}
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2024-10-14 13:00:47,921 (client:354) INFO: {'Role': 'Client #3', 'Round': 15, 'Results_raw': {'train_loss': 18.53707, 'val_loss': 18.10494, 'test_loss': 18.256864}}
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2024-10-14 13:01:30,353 (client:354) INFO: {'Role': 'Client #4', 'Round': 15, 'Results_raw': {'train_loss': 15.625517, 'val_loss': 14.175141, 'test_loss': 14.298897}}
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2024-10-14 13:02:12,305 (client:354) INFO: {'Role': 'Client #5', 'Round': 15, 'Results_raw': {'train_loss': 12.987305, 'val_loss': 12.057205, 'test_loss': 12.058152}}
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2024-10-14 13:02:53,190 (client:354) INFO: {'Role': 'Client #9', 'Round': 15, 'Results_raw': {'train_loss': 16.003457, 'val_loss': 16.475306, 'test_loss': 15.159364}}
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2024-10-14 13:03:35,236 (client:354) INFO: {'Role': 'Client #2', 'Round': 15, 'Results_raw': {'train_loss': 16.490848, 'val_loss': 16.859323, 'test_loss': 16.551428}}
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2024-10-14 13:04:18,445 (client:354) INFO: {'Role': 'Client #6', 'Round': 15, 'Results_raw': {'train_loss': 12.584705, 'val_loss': 13.069211, 'test_loss': 13.306228}}
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2024-10-14 13:05:01,670 (client:354) INFO: {'Role': 'Client #8', 'Round': 15, 'Results_raw': {'train_loss': 15.58958, 'val_loss': 15.41399, 'test_loss': 14.085751}}
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2024-10-14 13:05:41,135 (client:354) INFO: {'Role': 'Client #10', 'Round': 15, 'Results_raw': {'train_loss': 14.878426, 'val_loss': 14.320614, 'test_loss': 14.723907}}
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2024-10-14 13:06:22,916 (client:354) INFO: {'Role': 'Client #1', 'Round': 15, 'Results_raw': {'train_loss': 20.883381, 'val_loss': 19.847694, 'test_loss': 20.153621}}
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2024-10-14 13:06:22,920 (server:615) INFO: {'Role': 'Server #', 'Round': 14, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.316193), 'test_loss': np.float64(75033.00033), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.049274), 'val_loss': np.float64(77613.444592), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.316193), 'test_loss': np.float64(75033.00033), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(22.049274), 'val_loss': np.float64(77613.444592), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.81419), 'test_avg_loss_bottom_decile': np.float64(17.8956), 'test_avg_loss_top_decile': np.float64(27.028559), 'test_avg_loss_min': np.float64(17.84649), 'test_avg_loss_max': np.float64(27.028559), 'test_avg_loss_bottom10%': np.float64(17.84649), 'test_avg_loss_top10%': np.float64(27.028559), 'test_avg_loss_cos1': np.float64(0.991397), 'test_avg_loss_entropy': np.float64(2.293965), 'test_loss_std': np.float64(9905.948164), 'test_loss_bottom_decile': np.float64(62992.512878), 'test_loss_top_decile': np.float64(95140.528625), 'test_loss_min': np.float64(62819.644836), 'test_loss_max': np.float64(95140.528625), 'test_loss_bottom10%': np.float64(62819.644836), 'test_loss_top10%': np.float64(95140.528625), 'test_loss_cos1': np.float64(0.991397), 'test_loss_entropy': np.float64(2.293965), 'val_avg_loss_std': np.float64(2.738824), 'val_avg_loss_bottom_decile': np.float64(18.793212), 'val_avg_loss_top_decile': np.float64(27.419037), 'val_avg_loss_min': np.float64(18.59892), 'val_avg_loss_max': np.float64(27.419037), 'val_avg_loss_bottom10%': np.float64(18.59892), 'val_avg_loss_top10%': np.float64(27.419037), 'val_avg_loss_cos1': np.float64(0.992374), 'val_avg_loss_entropy': np.float64(2.29493), 'val_loss_std': np.float64(9640.660783), 'val_loss_bottom_decile': np.float64(66152.107117), 'val_loss_top_decile': np.float64(96515.008789), 'val_loss_min': np.float64(65468.199585), 'val_loss_max': np.float64(96515.008789), 'val_loss_bottom10%': np.float64(65468.199585), 'val_loss_top10%': np.float64(96515.008789), 'val_loss_cos1': np.float64(0.992374), 'val_loss_entropy': np.float64(2.29493)}}
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2024-10-14 13:06:22,960 (server:353) INFO: Server: Starting evaluation at the end of round 15.
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2024-10-14 13:06:22,960 (server:359) INFO: ----------- Starting a new training round (Round #16) -------------
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2024-10-14 13:08:17,565 (client:354) INFO: {'Role': 'Client #2', 'Round': 16, 'Results_raw': {'train_loss': 16.446228, 'val_loss': 16.804959, 'test_loss': 16.600578}}
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2024-10-14 13:09:01,374 (client:354) INFO: {'Role': 'Client #9', 'Round': 16, 'Results_raw': {'train_loss': 15.901951, 'val_loss': 16.630918, 'test_loss': 15.206761}}
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2024-10-14 13:09:44,599 (client:354) INFO: {'Role': 'Client #5', 'Round': 16, 'Results_raw': {'train_loss': 12.838094, 'val_loss': 12.102941, 'test_loss': 12.19013}}
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2024-10-14 13:10:28,056 (client:354) INFO: {'Role': 'Client #8', 'Round': 16, 'Results_raw': {'train_loss': 15.6347, 'val_loss': 15.002029, 'test_loss': 13.754887}}
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2024-10-14 13:11:10,572 (client:354) INFO: {'Role': 'Client #6', 'Round': 16, 'Results_raw': {'train_loss': 12.592098, 'val_loss': 12.9532, 'test_loss': 13.413867}}
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2024-10-14 13:11:51,166 (client:354) INFO: {'Role': 'Client #10', 'Round': 16, 'Results_raw': {'train_loss': 14.88146, 'val_loss': 14.365079, 'test_loss': 14.825099}}
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2024-10-14 13:12:31,616 (client:354) INFO: {'Role': 'Client #4', 'Round': 16, 'Results_raw': {'train_loss': 15.622344, 'val_loss': 14.316814, 'test_loss': 14.546907}}
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2024-10-14 13:13:13,374 (client:354) INFO: {'Role': 'Client #3', 'Round': 16, 'Results_raw': {'train_loss': 18.43313, 'val_loss': 18.018872, 'test_loss': 18.161153}}
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2024-10-14 13:13:55,208 (client:354) INFO: {'Role': 'Client #1', 'Round': 16, 'Results_raw': {'train_loss': 20.878013, 'val_loss': 19.79462, 'test_loss': 20.121392}}
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2024-10-14 13:14:34,752 (client:354) INFO: {'Role': 'Client #7', 'Round': 16, 'Results_raw': {'train_loss': 12.130352, 'val_loss': 12.100382, 'test_loss': 11.46336}}
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2024-10-14 13:14:34,757 (server:615) INFO: {'Role': 'Server #', 'Round': 15, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.201259), 'test_loss': np.float64(74628.43042), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.926319), 'val_loss': np.float64(77180.64259), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.201259), 'test_loss': np.float64(74628.43042), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.926319), 'val_loss': np.float64(77180.64259), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.802726), 'test_avg_loss_bottom_decile': np.float64(17.735507), 'test_avg_loss_top_decile': np.float64(26.893396), 'test_avg_loss_min': np.float64(17.663102), 'test_avg_loss_max': np.float64(26.893396), 'test_avg_loss_bottom10%': np.float64(17.663102), 'test_avg_loss_top10%': np.float64(26.893396), 'test_avg_loss_cos1': np.float64(0.991375), 'test_avg_loss_entropy': np.float64(2.293944), 'test_loss_std': np.float64(9865.594556), 'test_loss_bottom_decile': np.float64(62428.985535), 'test_loss_top_decile': np.float64(94664.754822), 'test_loss_min': np.float64(62174.120056), 'test_loss_max': np.float64(94664.754822), 'test_loss_bottom10%': np.float64(62174.120056), 'test_loss_top10%': np.float64(94664.754822), 'test_loss_cos1': np.float64(0.991375), 'test_loss_entropy': np.float64(2.293944), 'val_avg_loss_std': np.float64(2.723517), 'val_avg_loss_bottom_decile': np.float64(18.54734), 'val_avg_loss_top_decile': np.float64(27.289335), 'val_avg_loss_min': np.float64(18.499841), 'val_avg_loss_max': np.float64(27.289335), 'val_avg_loss_bottom10%': np.float64(18.499841), 'val_avg_loss_top10%': np.float64(27.289335), 'val_avg_loss_cos1': np.float64(0.992374), 'val_avg_loss_entropy': np.float64(2.294934), 'val_loss_std': np.float64(9586.780465), 'val_loss_bottom_decile': np.float64(65286.635315), 'val_loss_top_decile': np.float64(96058.458923), 'val_loss_min': np.float64(65119.441895), 'val_loss_max': np.float64(96058.458923), 'val_loss_bottom10%': np.float64(65119.441895), 'val_loss_top10%': np.float64(96058.458923), 'val_loss_cos1': np.float64(0.992374), 'val_loss_entropy': np.float64(2.294934)}}
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2024-10-14 13:14:34,796 (server:353) INFO: Server: Starting evaluation at the end of round 16.
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2024-10-14 13:14:34,796 (server:359) INFO: ----------- Starting a new training round (Round #17) -------------
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2024-10-14 13:16:19,409 (client:354) INFO: {'Role': 'Client #10', 'Round': 17, 'Results_raw': {'train_loss': 14.710472, 'val_loss': 14.508045, 'test_loss': 14.923847}}
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2024-10-14 13:16:57,782 (client:354) INFO: {'Role': 'Client #5', 'Round': 17, 'Results_raw': {'train_loss': 12.801158, 'val_loss': 12.154777, 'test_loss': 12.139097}}
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2024-10-14 13:17:50,236 (client:354) INFO: {'Role': 'Client #3', 'Round': 17, 'Results_raw': {'train_loss': 18.385061, 'val_loss': 17.937522, 'test_loss': 18.095332}}
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2024-10-14 13:18:31,354 (client:354) INFO: {'Role': 'Client #7', 'Round': 17, 'Results_raw': {'train_loss': 11.92041, 'val_loss': 11.957835, 'test_loss': 11.244511}}
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2024-10-14 13:19:12,606 (client:354) INFO: {'Role': 'Client #2', 'Round': 17, 'Results_raw': {'train_loss': 16.387558, 'val_loss': 16.764427, 'test_loss': 16.613016}}
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2024-10-14 13:19:54,653 (client:354) INFO: {'Role': 'Client #4', 'Round': 17, 'Results_raw': {'train_loss': 15.497196, 'val_loss': 13.949172, 'test_loss': 14.103052}}
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2024-10-14 13:20:36,513 (client:354) INFO: {'Role': 'Client #8', 'Round': 17, 'Results_raw': {'train_loss': 15.456572, 'val_loss': 15.191547, 'test_loss': 13.827013}}
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2024-10-14 13:21:20,054 (client:354) INFO: {'Role': 'Client #9', 'Round': 17, 'Results_raw': {'train_loss': 15.953242, 'val_loss': 16.498807, 'test_loss': 15.16753}}
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2024-10-14 13:22:05,925 (client:354) INFO: {'Role': 'Client #6', 'Round': 17, 'Results_raw': {'train_loss': 12.467218, 'val_loss': 12.965983, 'test_loss': 13.288448}}
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2024-10-14 13:22:48,589 (client:354) INFO: {'Role': 'Client #1', 'Round': 17, 'Results_raw': {'train_loss': 20.755141, 'val_loss': 19.880753, 'test_loss': 20.136743}}
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2024-10-14 13:22:48,594 (server:615) INFO: {'Role': 'Server #', 'Round': 16, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.08739), 'test_loss': np.float64(74227.613342), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.805478), 'val_loss': np.float64(76755.282312), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.08739), 'test_loss': np.float64(74227.613342), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.805478), 'val_loss': np.float64(76755.282312), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.82151), 'test_avg_loss_bottom_decile': np.float64(17.773004), 'test_avg_loss_top_decile': np.float64(26.932539), 'test_avg_loss_min': np.float64(17.509764), 'test_avg_loss_max': np.float64(26.932539), 'test_avg_loss_bottom10%': np.float64(17.509764), 'test_avg_loss_top10%': np.float64(26.932539), 'test_avg_loss_cos1': np.float64(0.991167), 'test_avg_loss_entropy': np.float64(2.293755), 'test_loss_std': np.float64(9931.715707), 'test_loss_bottom_decile': np.float64(62560.973022), 'test_loss_top_decile': np.float64(94802.538513), 'test_loss_min': np.float64(61634.368835), 'test_loss_max': np.float64(94802.538513), 'test_loss_bottom10%': np.float64(61634.368835), 'test_loss_top10%': np.float64(94802.538513), 'test_loss_cos1': np.float64(0.991167), 'test_loss_entropy': np.float64(2.293755), 'val_avg_loss_std': np.float64(2.741839), 'val_avg_loss_bottom_decile': np.float64(18.521579), 'val_avg_loss_top_decile': np.float64(27.31306), 'val_avg_loss_min': np.float64(18.385073), 'val_avg_loss_max': np.float64(27.31306), 'val_avg_loss_bottom10%': np.float64(18.385073), 'val_avg_loss_top10%': np.float64(27.31306), 'val_avg_loss_cos1': np.float64(0.992187), 'val_avg_loss_entropy': np.float64(2.294763), 'val_loss_std': np.float64(9651.273759), 'val_loss_bottom_decile': np.float64(65195.958923), 'val_loss_top_decile': np.float64(96141.97168), 'val_loss_min': np.float64(64715.45752), 'val_loss_max': np.float64(96141.97168), 'val_loss_bottom10%': np.float64(64715.45752), 'val_loss_top10%': np.float64(96141.97168), 'val_loss_cos1': np.float64(0.992187), 'val_loss_entropy': np.float64(2.294763)}}
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2024-10-14 13:22:48,639 (server:353) INFO: Server: Starting evaluation at the end of round 17.
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2024-10-14 13:22:48,640 (server:359) INFO: ----------- Starting a new training round (Round #18) -------------
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2024-10-14 13:24:36,266 (client:354) INFO: {'Role': 'Client #3', 'Round': 18, 'Results_raw': {'train_loss': 18.345473, 'val_loss': 17.885384, 'test_loss': 18.083138}}
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2024-10-14 13:25:14,784 (client:354) INFO: {'Role': 'Client #5', 'Round': 18, 'Results_raw': {'train_loss': 12.845807, 'val_loss': 12.062906, 'test_loss': 12.23561}}
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2024-10-14 13:25:56,211 (client:354) INFO: {'Role': 'Client #7', 'Round': 18, 'Results_raw': {'train_loss': 11.908867, 'val_loss': 11.748004, 'test_loss': 11.042153}}
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2024-10-14 13:26:37,895 (client:354) INFO: {'Role': 'Client #9', 'Round': 18, 'Results_raw': {'train_loss': 15.846937, 'val_loss': 16.483409, 'test_loss': 15.06177}}
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2024-10-14 13:27:18,911 (client:354) INFO: {'Role': 'Client #10', 'Round': 18, 'Results_raw': {'train_loss': 14.664877, 'val_loss': 14.335743, 'test_loss': 14.654382}}
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2024-10-14 13:28:02,533 (client:354) INFO: {'Role': 'Client #1', 'Round': 18, 'Results_raw': {'train_loss': 20.791184, 'val_loss': 19.632017, 'test_loss': 19.996578}}
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2024-10-14 13:28:43,537 (client:354) INFO: {'Role': 'Client #4', 'Round': 18, 'Results_raw': {'train_loss': 15.359552, 'val_loss': 14.010167, 'test_loss': 14.176196}}
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2024-10-14 13:29:24,869 (client:354) INFO: {'Role': 'Client #8', 'Round': 18, 'Results_raw': {'train_loss': 15.47021, 'val_loss': 15.345756, 'test_loss': 13.943339}}
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2024-10-14 13:30:14,887 (client:354) INFO: {'Role': 'Client #2', 'Round': 18, 'Results_raw': {'train_loss': 16.393757, 'val_loss': 16.838803, 'test_loss': 16.656803}}
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2024-10-14 13:30:58,903 (client:354) INFO: {'Role': 'Client #6', 'Round': 18, 'Results_raw': {'train_loss': 12.486833, 'val_loss': 12.968486, 'test_loss': 13.484785}}
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2024-10-14 13:30:58,907 (server:615) INFO: {'Role': 'Server #', 'Round': 17, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.044327), 'test_loss': np.float64(74076.031915), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.759941), 'val_loss': np.float64(76594.993378), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.044327), 'test_loss': np.float64(74076.031915), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.759941), 'val_loss': np.float64(76594.993378), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.750006), 'test_avg_loss_bottom_decile': np.float64(17.716849), 'test_avg_loss_top_decile': np.float64(26.784502), 'test_avg_loss_min': np.float64(17.62592), 'test_avg_loss_max': np.float64(26.784502), 'test_avg_loss_bottom10%': np.float64(17.62592), 'test_avg_loss_top10%': np.float64(26.784502), 'test_avg_loss_cos1': np.float64(0.99157), 'test_avg_loss_entropy': np.float64(2.294175), 'test_loss_std': np.float64(9680.019484), 'test_loss_bottom_decile': np.float64(62363.306946), 'test_loss_top_decile': np.float64(94281.447876), 'test_loss_min': np.float64(62043.239136), 'test_loss_max': np.float64(94281.447876), 'test_loss_bottom10%': np.float64(62043.239136), 'test_loss_top10%': np.float64(94281.447876), 'test_loss_cos1': np.float64(0.99157), 'test_loss_entropy': np.float64(2.294175), 'val_avg_loss_std': np.float64(2.666622), 'val_avg_loss_bottom_decile': np.float64(18.517513), 'val_avg_loss_top_decile': np.float64(27.170407), 'val_avg_loss_min': np.float64(18.466034), 'val_avg_loss_max': np.float64(27.170407), 'val_avg_loss_bottom10%': np.float64(18.466034), 'val_avg_loss_top10%': np.float64(27.170407), 'val_avg_loss_cos1': np.float64(0.992575), 'val_avg_loss_entropy': np.float64(2.295164), 'val_loss_std': np.float64(9386.507699), 'val_loss_bottom_decile': np.float64(65181.645691), 'val_loss_top_decile': np.float64(95639.833496), 'val_loss_min': np.float64(65000.438477), 'val_loss_max': np.float64(95639.833496), 'val_loss_bottom10%': np.float64(65000.438477), 'val_loss_top10%': np.float64(95639.833496), 'val_loss_cos1': np.float64(0.992575), 'val_loss_entropy': np.float64(2.295164)}}
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2024-10-14 13:30:58,949 (server:353) INFO: Server: Starting evaluation at the end of round 18.
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2024-10-14 13:30:58,950 (server:359) INFO: ----------- Starting a new training round (Round #19) -------------
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2024-10-14 13:32:46,324 (client:354) INFO: {'Role': 'Client #3', 'Round': 19, 'Results_raw': {'train_loss': 18.324544, 'val_loss': 17.945797, 'test_loss': 18.034529}}
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2024-10-14 13:33:26,291 (client:354) INFO: {'Role': 'Client #7', 'Round': 19, 'Results_raw': {'train_loss': 11.830716, 'val_loss': 11.80528, 'test_loss': 11.171834}}
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2024-10-14 13:34:07,383 (client:354) INFO: {'Role': 'Client #2', 'Round': 19, 'Results_raw': {'train_loss': 16.314519, 'val_loss': 16.604097, 'test_loss': 16.447151}}
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2024-10-14 13:34:50,617 (client:354) INFO: {'Role': 'Client #4', 'Round': 19, 'Results_raw': {'train_loss': 15.40784, 'val_loss': 14.472185, 'test_loss': 14.884849}}
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2024-10-14 13:35:31,974 (client:354) INFO: {'Role': 'Client #5', 'Round': 19, 'Results_raw': {'train_loss': 12.652787, 'val_loss': 12.054227, 'test_loss': 12.132829}}
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2024-10-14 13:36:13,317 (client:354) INFO: {'Role': 'Client #9', 'Round': 19, 'Results_raw': {'train_loss': 15.867099, 'val_loss': 16.488588, 'test_loss': 14.927618}}
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2024-10-14 13:36:54,909 (client:354) INFO: {'Role': 'Client #10', 'Round': 19, 'Results_raw': {'train_loss': 14.596106, 'val_loss': 14.311859, 'test_loss': 14.716567}}
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2024-10-14 13:37:35,576 (client:354) INFO: {'Role': 'Client #1', 'Round': 19, 'Results_raw': {'train_loss': 20.703279, 'val_loss': 19.648018, 'test_loss': 20.034509}}
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2024-10-14 13:38:23,575 (client:354) INFO: {'Role': 'Client #8', 'Round': 19, 'Results_raw': {'train_loss': 15.392442, 'val_loss': 15.368173, 'test_loss': 14.069995}}
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2024-10-14 13:39:04,646 (client:354) INFO: {'Role': 'Client #6', 'Round': 19, 'Results_raw': {'train_loss': 12.40535, 'val_loss': 12.922578, 'test_loss': 13.17533}}
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2024-10-14 13:39:04,651 (server:615) INFO: {'Role': 'Server #', 'Round': 18, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.975312), 'test_loss': np.float64(73833.096637), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.692008), 'val_loss': np.float64(76355.869293), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.975312), 'test_loss': np.float64(73833.096637), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.692008), 'val_loss': np.float64(76355.869293), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.681807), 'test_avg_loss_bottom_decile': np.float64(17.707161), 'test_avg_loss_top_decile': np.float64(26.532894), 'test_avg_loss_min': np.float64(17.574142), 'test_avg_loss_max': np.float64(26.532894), 'test_avg_loss_bottom10%': np.float64(17.574142), 'test_avg_loss_top10%': np.float64(26.532894), 'test_avg_loss_cos1': np.float64(0.991925), 'test_avg_loss_entropy': np.float64(2.294525), 'test_loss_std': np.float64(9439.960369), 'test_loss_bottom_decile': np.float64(62329.206604), 'test_loss_top_decile': np.float64(93395.788269), 'test_loss_min': np.float64(61860.980225), 'test_loss_max': np.float64(93395.788269), 'test_loss_bottom10%': np.float64(61860.980225), 'test_loss_top10%': np.float64(93395.788269), 'test_loss_cos1': np.float64(0.991925), 'test_loss_entropy': np.float64(2.294525), 'val_avg_loss_std': np.float64(2.583904), 'val_avg_loss_bottom_decile': np.float64(18.597426), 'val_avg_loss_top_decile': np.float64(26.909045), 'val_avg_loss_min': np.float64(18.330685), 'val_avg_loss_max': np.float64(26.909045), 'val_avg_loss_bottom10%': np.float64(18.330685), 'val_avg_loss_top10%': np.float64(26.909045), 'val_avg_loss_cos1': np.float64(0.99298), 'val_avg_loss_entropy': np.float64(2.295565), 'val_loss_std': np.float64(9095.34304), 'val_loss_bottom_decile': np.float64(65462.939697), 'val_loss_top_decile': np.float64(94719.83844), 'val_loss_min': np.float64(64524.011963), 'val_loss_max': np.float64(94719.83844), 'val_loss_bottom10%': np.float64(64524.011963), 'val_loss_top10%': np.float64(94719.83844), 'val_loss_cos1': np.float64(0.99298), 'val_loss_entropy': np.float64(2.295565)}}
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2024-10-14 13:39:04,691 (server:353) INFO: Server: Starting evaluation at the end of round 19.
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2024-10-14 13:39:04,692 (server:359) INFO: ----------- Starting a new training round (Round #20) -------------
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2024-10-14 13:40:54,095 (client:354) INFO: {'Role': 'Client #3', 'Round': 20, 'Results_raw': {'train_loss': 18.271928, 'val_loss': 17.841171, 'test_loss': 18.000703}}
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2024-10-14 13:41:35,024 (client:354) INFO: {'Role': 'Client #4', 'Round': 20, 'Results_raw': {'train_loss': 15.318013, 'val_loss': 14.008518, 'test_loss': 14.312846}}
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2024-10-14 13:42:15,515 (client:354) INFO: {'Role': 'Client #1', 'Round': 20, 'Results_raw': {'train_loss': 20.603762, 'val_loss': 19.541708, 'test_loss': 19.872613}}
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2024-10-14 13:43:02,039 (client:354) INFO: {'Role': 'Client #5', 'Round': 20, 'Results_raw': {'train_loss': 12.641199, 'val_loss': 12.283655, 'test_loss': 12.41516}}
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2024-10-14 13:43:42,748 (client:354) INFO: {'Role': 'Client #9', 'Round': 20, 'Results_raw': {'train_loss': 15.809784, 'val_loss': 16.895617, 'test_loss': 15.177453}}
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2024-10-14 13:44:23,231 (client:354) INFO: {'Role': 'Client #8', 'Round': 20, 'Results_raw': {'train_loss': 15.308615, 'val_loss': 15.53517, 'test_loss': 14.316515}}
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2024-10-14 13:45:03,804 (client:354) INFO: {'Role': 'Client #7', 'Round': 20, 'Results_raw': {'train_loss': 11.891908, 'val_loss': 11.750404, 'test_loss': 11.088602}}
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2024-10-14 13:45:45,318 (client:354) INFO: {'Role': 'Client #6', 'Round': 20, 'Results_raw': {'train_loss': 12.385503, 'val_loss': 12.772376, 'test_loss': 13.082047}}
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2024-10-14 13:46:27,905 (client:354) INFO: {'Role': 'Client #2', 'Round': 20, 'Results_raw': {'train_loss': 16.236721, 'val_loss': 16.604868, 'test_loss': 16.434897}}
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2024-10-14 13:47:08,921 (client:354) INFO: {'Role': 'Client #10', 'Round': 20, 'Results_raw': {'train_loss': 14.691297, 'val_loss': 14.177616, 'test_loss': 14.591545}}
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2024-10-14 13:47:08,925 (server:615) INFO: {'Role': 'Server #', 'Round': 19, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.925117), 'test_loss': np.float64(73656.413245), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.632609), 'val_loss': np.float64(76146.782422), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.925117), 'test_loss': np.float64(73656.413245), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.632609), 'val_loss': np.float64(76146.782422), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.793722), 'test_avg_loss_bottom_decile': np.float64(17.613492), 'test_avg_loss_top_decile': np.float64(26.77277), 'test_avg_loss_min': np.float64(17.412229), 'test_avg_loss_max': np.float64(26.77277), 'test_avg_loss_bottom10%': np.float64(17.412229), 'test_avg_loss_top10%': np.float64(26.77277), 'test_avg_loss_cos1': np.float64(0.991205), 'test_avg_loss_entropy': np.float64(2.293811), 'test_loss_std': np.float64(9833.90079), 'test_loss_bottom_decile': np.float64(61999.491882), 'test_loss_top_decile': np.float64(94240.15033), 'test_loss_min': np.float64(61291.047363), 'test_loss_max': np.float64(94240.15033), 'test_loss_bottom10%': np.float64(61291.047363), 'test_loss_top10%': np.float64(94240.15033), 'test_loss_cos1': np.float64(0.991205), 'test_loss_entropy': np.float64(2.293811), 'val_avg_loss_std': np.float64(2.709758), 'val_avg_loss_bottom_decile': np.float64(18.336591), 'val_avg_loss_top_decile': np.float64(27.142019), 'val_avg_loss_min': np.float64(18.284516), 'val_avg_loss_max': np.float64(27.142019), 'val_avg_loss_bottom10%': np.float64(18.284516), 'val_avg_loss_top10%': np.float64(27.142019), 'val_avg_loss_cos1': np.float64(0.992246), 'val_avg_loss_entropy': np.float64(2.294834), 'val_loss_std': np.float64(9538.347213), 'val_loss_bottom_decile': np.float64(64544.799988), 'val_loss_top_decile': np.float64(95539.906372), 'val_loss_min': np.float64(64361.497986), 'val_loss_max': np.float64(95539.906372), 'val_loss_bottom10%': np.float64(64361.497986), 'val_loss_top10%': np.float64(95539.906372), 'val_loss_cos1': np.float64(0.992246), 'val_loss_entropy': np.float64(2.294834)}}
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2024-10-14 13:47:08,960 (server:353) INFO: Server: Starting evaluation at the end of round 20.
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2024-10-14 13:47:08,961 (server:359) INFO: ----------- Starting a new training round (Round #21) -------------
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2024-10-14 13:48:59,434 (client:354) INFO: {'Role': 'Client #5', 'Round': 21, 'Results_raw': {'train_loss': 12.581468, 'val_loss': 12.135294, 'test_loss': 12.488599}}
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2024-10-14 13:49:39,269 (client:354) INFO: {'Role': 'Client #3', 'Round': 21, 'Results_raw': {'train_loss': 18.206457, 'val_loss': 18.073679, 'test_loss': 18.232245}}
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2024-10-14 13:50:21,221 (client:354) INFO: {'Role': 'Client #6', 'Round': 21, 'Results_raw': {'train_loss': 12.347062, 'val_loss': 12.83402, 'test_loss': 13.16604}}
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2024-10-14 13:51:04,791 (client:354) INFO: {'Role': 'Client #9', 'Round': 21, 'Results_raw': {'train_loss': 15.742874, 'val_loss': 16.870499, 'test_loss': 15.289008}}
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2024-10-14 13:51:46,880 (client:354) INFO: {'Role': 'Client #4', 'Round': 21, 'Results_raw': {'train_loss': 15.29999, 'val_loss': 13.981248, 'test_loss': 14.144738}}
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2024-10-14 13:52:29,081 (client:354) INFO: {'Role': 'Client #1', 'Round': 21, 'Results_raw': {'train_loss': 20.569445, 'val_loss': 19.564596, 'test_loss': 19.900362}}
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2024-10-14 13:53:11,724 (client:354) INFO: {'Role': 'Client #7', 'Round': 21, 'Results_raw': {'train_loss': 11.845491, 'val_loss': 11.798947, 'test_loss': 11.083246}}
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2024-10-14 13:53:53,361 (client:354) INFO: {'Role': 'Client #2', 'Round': 21, 'Results_raw': {'train_loss': 16.175529, 'val_loss': 16.505647, 'test_loss': 16.430029}}
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2024-10-14 13:54:38,443 (client:354) INFO: {'Role': 'Client #10', 'Round': 21, 'Results_raw': {'train_loss': 14.592388, 'val_loss': 14.103653, 'test_loss': 14.60184}}
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2024-10-14 13:55:20,705 (client:354) INFO: {'Role': 'Client #8', 'Round': 21, 'Results_raw': {'train_loss': 15.191859, 'val_loss': 14.983188, 'test_loss': 13.902691}}
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2024-10-14 13:55:20,710 (server:615) INFO: {'Role': 'Server #', 'Round': 20, 'Results_weighted_avg': {'test_avg_loss': np.float64(21.014542), 'test_loss': np.float64(73971.186316), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.712975), 'val_loss': np.float64(76429.670837), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(21.014542), 'test_loss': np.float64(73971.186316), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.712975), 'val_loss': np.float64(76429.670837), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.782284), 'test_avg_loss_bottom_decile': np.float64(17.720308), 'test_avg_loss_top_decile': np.float64(26.754128), 'test_avg_loss_min': np.float64(17.535102), 'test_avg_loss_max': np.float64(26.754128), 'test_avg_loss_bottom10%': np.float64(17.535102), 'test_avg_loss_top10%': np.float64(26.754128), 'test_avg_loss_cos1': np.float64(0.991349), 'test_avg_loss_entropy': np.float64(2.293943), 'test_loss_std': np.float64(9793.641376), 'test_loss_bottom_decile': np.float64(62375.483215), 'test_loss_top_decile': np.float64(94174.530762), 'test_loss_min': np.float64(61723.559937), 'test_loss_max': np.float64(94174.530762), 'test_loss_bottom10%': np.float64(61723.559937), 'test_loss_top10%': np.float64(94174.530762), 'test_loss_cos1': np.float64(0.991349), 'test_loss_entropy': np.float64(2.293943), 'val_avg_loss_std': np.float64(2.693105), 'val_avg_loss_bottom_decile': np.float64(18.442074), 'val_avg_loss_top_decile': np.float64(27.104821), 'val_avg_loss_min': np.float64(18.426275), 'val_avg_loss_max': np.float64(27.104821), 'val_avg_loss_bottom10%': np.float64(18.426275), 'val_avg_loss_top10%': np.float64(27.104821), 'val_avg_loss_cos1': np.float64(0.992396), 'val_avg_loss_entropy': np.float64(2.294977), 'val_loss_std': np.float64(9479.731081), 'val_loss_bottom_decile': np.float64(64916.099915), 'val_loss_top_decile': np.float64(95408.969238), 'val_loss_min': np.float64(64860.486755), 'val_loss_max': np.float64(95408.969238), 'val_loss_bottom10%': np.float64(64860.486755), 'val_loss_top10%': np.float64(95408.969238), 'val_loss_cos1': np.float64(0.992396), 'val_loss_entropy': np.float64(2.294977)}}
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2024-10-14 13:55:20,756 (server:353) INFO: Server: Starting evaluation at the end of round 21.
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2024-10-14 13:55:20,756 (server:359) INFO: ----------- Starting a new training round (Round #22) -------------
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2024-10-14 13:57:09,555 (client:354) INFO: {'Role': 'Client #4', 'Round': 22, 'Results_raw': {'train_loss': 15.248744, 'val_loss': 14.096954, 'test_loss': 14.495558}}
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2024-10-14 13:57:52,856 (client:354) INFO: {'Role': 'Client #8', 'Round': 22, 'Results_raw': {'train_loss': 15.226315, 'val_loss': 15.183021, 'test_loss': 13.933107}}
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2024-10-14 13:58:32,896 (client:354) INFO: {'Role': 'Client #2', 'Round': 22, 'Results_raw': {'train_loss': 16.267693, 'val_loss': 16.672035, 'test_loss': 16.451225}}
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2024-10-14 13:59:16,189 (client:354) INFO: {'Role': 'Client #6', 'Round': 22, 'Results_raw': {'train_loss': 12.326978, 'val_loss': 12.806508, 'test_loss': 13.186108}}
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2024-10-14 13:59:57,145 (client:354) INFO: {'Role': 'Client #3', 'Round': 22, 'Results_raw': {'train_loss': 18.291389, 'val_loss': 18.036734, 'test_loss': 18.220994}}
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2024-10-14 14:00:39,425 (client:354) INFO: {'Role': 'Client #10', 'Round': 22, 'Results_raw': {'train_loss': 14.516062, 'val_loss': 14.142339, 'test_loss': 14.566214}}
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2024-10-14 14:01:20,650 (client:354) INFO: {'Role': 'Client #1', 'Round': 22, 'Results_raw': {'train_loss': 20.484866, 'val_loss': 19.526415, 'test_loss': 19.861163}}
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2024-10-14 14:02:01,664 (client:354) INFO: {'Role': 'Client #9', 'Round': 22, 'Results_raw': {'train_loss': 15.730734, 'val_loss': 16.608368, 'test_loss': 15.143447}}
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2024-10-14 14:02:46,907 (client:354) INFO: {'Role': 'Client #7', 'Round': 22, 'Results_raw': {'train_loss': 11.78927, 'val_loss': 11.606579, 'test_loss': 10.914605}}
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2024-10-14 14:03:28,316 (client:354) INFO: {'Role': 'Client #5', 'Round': 22, 'Results_raw': {'train_loss': 12.492716, 'val_loss': 12.326671, 'test_loss': 12.393598}}
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2024-10-14 14:03:28,321 (server:615) INFO: {'Role': 'Server #', 'Round': 21, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.964912), 'test_loss': np.float64(73796.491528), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.663598), 'val_loss': np.float64(76255.86665), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.964912), 'test_loss': np.float64(73796.491528), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.663598), 'val_loss': np.float64(76255.86665), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.758155), 'test_avg_loss_bottom_decile': np.float64(17.649438), 'test_avg_loss_top_decile': np.float64(26.750799), 'test_avg_loss_min': np.float64(17.549161), 'test_avg_loss_max': np.float64(26.750799), 'test_avg_loss_bottom10%': np.float64(17.549161), 'test_avg_loss_top10%': np.float64(26.750799), 'test_avg_loss_cos1': np.float64(0.991457), 'test_avg_loss_entropy': np.float64(2.294072), 'test_loss_std': np.float64(9708.704205), 'test_loss_bottom_decile': np.float64(62126.023499), 'test_loss_top_decile': np.float64(94162.811096), 'test_loss_min': np.float64(61773.048218), 'test_loss_max': np.float64(94162.811096), 'test_loss_bottom10%': np.float64(61773.048218), 'test_loss_top10%': np.float64(94162.811096), 'test_loss_cos1': np.float64(0.991457), 'test_loss_entropy': np.float64(2.294072), 'val_avg_loss_std': np.float64(2.678971), 'val_avg_loss_bottom_decile': np.float64(18.421772), 'val_avg_loss_top_decile': np.float64(27.124287), 'val_avg_loss_min': np.float64(18.341952), 'val_avg_loss_max': np.float64(27.124287), 'val_avg_loss_bottom10%': np.float64(18.341952), 'val_avg_loss_top10%': np.float64(27.124287), 'val_avg_loss_cos1': np.float64(0.99244), 'val_avg_loss_entropy': np.float64(2.295037), 'val_loss_std': np.float64(9429.97906), 'val_loss_bottom_decile': np.float64(64844.636963), 'val_loss_top_decile': np.float64(95477.489624), 'val_loss_min': np.float64(64563.669434), 'val_loss_max': np.float64(95477.489624), 'val_loss_bottom10%': np.float64(64563.669434), 'val_loss_top10%': np.float64(95477.489624), 'val_loss_cos1': np.float64(0.99244), 'val_loss_entropy': np.float64(2.295037)}}
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2024-10-14 14:03:28,360 (server:353) INFO: Server: Starting evaluation at the end of round 22.
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2024-10-14 14:03:28,360 (server:359) INFO: ----------- Starting a new training round (Round #23) -------------
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2024-10-14 14:05:18,700 (client:354) INFO: {'Role': 'Client #5', 'Round': 23, 'Results_raw': {'train_loss': 12.590103, 'val_loss': 11.9121, 'test_loss': 11.919019}}
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2024-10-14 14:06:00,224 (client:354) INFO: {'Role': 'Client #6', 'Round': 23, 'Results_raw': {'train_loss': 12.376985, 'val_loss': 12.901634, 'test_loss': 13.216535}}
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2024-10-14 14:06:44,019 (client:354) INFO: {'Role': 'Client #9', 'Round': 23, 'Results_raw': {'train_loss': 15.699527, 'val_loss': 16.466626, 'test_loss': 14.987457}}
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2024-10-14 14:07:25,109 (client:354) INFO: {'Role': 'Client #1', 'Round': 23, 'Results_raw': {'train_loss': 20.440956, 'val_loss': 19.984372, 'test_loss': 20.196903}}
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2024-10-14 14:08:12,901 (client:354) INFO: {'Role': 'Client #8', 'Round': 23, 'Results_raw': {'train_loss': 15.053019, 'val_loss': 15.340008, 'test_loss': 14.145454}}
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2024-10-14 14:08:56,195 (client:354) INFO: {'Role': 'Client #3', 'Round': 23, 'Results_raw': {'train_loss': 18.188003, 'val_loss': 18.03185, 'test_loss': 18.190382}}
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2024-10-14 14:09:36,859 (client:354) INFO: {'Role': 'Client #4', 'Round': 23, 'Results_raw': {'train_loss': 15.258614, 'val_loss': 13.81585, 'test_loss': 13.984492}}
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2024-10-14 14:10:18,120 (client:354) INFO: {'Role': 'Client #7', 'Round': 23, 'Results_raw': {'train_loss': 11.742276, 'val_loss': 11.751397, 'test_loss': 11.096057}}
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2024-10-14 14:11:00,910 (client:354) INFO: {'Role': 'Client #10', 'Round': 23, 'Results_raw': {'train_loss': 14.55238, 'val_loss': 14.035919, 'test_loss': 14.41788}}
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2024-10-14 14:11:42,399 (client:354) INFO: {'Role': 'Client #2', 'Round': 23, 'Results_raw': {'train_loss': 16.167641, 'val_loss': 16.748992, 'test_loss': 16.59379}}
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2024-10-14 14:11:42,404 (server:615) INFO: {'Role': 'Server #', 'Round': 22, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.784992), 'test_loss': np.float64(73163.173541), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.470906), 'val_loss': np.float64(75577.589435), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.784992), 'test_loss': np.float64(73163.173541), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.470906), 'val_loss': np.float64(75577.589435), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.826546), 'test_avg_loss_bottom_decile': np.float64(17.580676), 'test_avg_loss_top_decile': np.float64(26.692714), 'test_avg_loss_min': np.float64(17.047856), 'test_avg_loss_max': np.float64(26.692714), 'test_avg_loss_bottom10%': np.float64(17.047856), 'test_avg_loss_top10%': np.float64(26.692714), 'test_avg_loss_cos1': np.float64(0.99088), 'test_avg_loss_entropy': np.float64(2.293481), 'test_loss_std': np.float64(9949.442617), 'test_loss_bottom_decile': np.float64(61883.980713), 'test_loss_top_decile': np.float64(93958.352478), 'test_loss_min': np.float64(60008.453857), 'test_loss_max': np.float64(93958.352478), 'test_loss_bottom10%': np.float64(60008.453857), 'test_loss_top10%': np.float64(93958.352478), 'test_loss_cos1': np.float64(0.99088), 'test_loss_entropy': np.float64(2.293481), 'val_avg_loss_std': np.float64(2.738658), 'val_avg_loss_bottom_decile': np.float64(18.28648), 'val_avg_loss_top_decile': np.float64(27.037598), 'val_avg_loss_min': np.float64(17.9215), 'val_avg_loss_max': np.float64(27.037598), 'val_avg_loss_bottom10%': np.float64(17.9215), 'val_avg_loss_top10%': np.float64(27.037598), 'val_avg_loss_cos1': np.float64(0.991963), 'val_avg_loss_entropy': np.float64(2.294552), 'val_loss_std': np.float64(9640.0754), 'val_loss_bottom_decile': np.float64(64368.411194), 'val_loss_top_decile': np.float64(95172.346436), 'val_loss_min': np.float64(63083.680786), 'val_loss_max': np.float64(95172.346436), 'val_loss_bottom10%': np.float64(63083.680786), 'val_loss_top10%': np.float64(95172.346436), 'val_loss_cos1': np.float64(0.991963), 'val_loss_entropy': np.float64(2.294552)}}
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2024-10-14 14:11:42,449 (server:353) INFO: Server: Starting evaluation at the end of round 23.
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2024-10-14 14:11:42,450 (server:359) INFO: ----------- Starting a new training round (Round #24) -------------
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2024-10-14 14:13:27,272 (client:354) INFO: {'Role': 'Client #4', 'Round': 24, 'Results_raw': {'train_loss': 15.248763, 'val_loss': 13.896977, 'test_loss': 14.227759}}
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2024-10-14 14:14:07,759 (client:354) INFO: {'Role': 'Client #2', 'Round': 24, 'Results_raw': {'train_loss': 16.099703, 'val_loss': 16.514065, 'test_loss': 16.336594}}
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2024-10-14 14:14:49,579 (client:354) INFO: {'Role': 'Client #10', 'Round': 24, 'Results_raw': {'train_loss': 14.446338, 'val_loss': 14.088877, 'test_loss': 14.534892}}
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2024-10-14 14:15:33,647 (client:354) INFO: {'Role': 'Client #6', 'Round': 24, 'Results_raw': {'train_loss': 12.307217, 'val_loss': 12.772317, 'test_loss': 13.230447}}
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2024-10-14 14:16:17,044 (client:354) INFO: {'Role': 'Client #9', 'Round': 24, 'Results_raw': {'train_loss': 15.716812, 'val_loss': 16.373397, 'test_loss': 14.818556}}
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2024-10-14 14:16:59,691 (client:354) INFO: {'Role': 'Client #8', 'Round': 24, 'Results_raw': {'train_loss': 15.070443, 'val_loss': 15.063237, 'test_loss': 13.597004}}
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2024-10-14 14:17:42,337 (client:354) INFO: {'Role': 'Client #3', 'Round': 24, 'Results_raw': {'train_loss': 18.093022, 'val_loss': 17.845749, 'test_loss': 18.057781}}
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2024-10-14 14:18:24,891 (client:354) INFO: {'Role': 'Client #7', 'Round': 24, 'Results_raw': {'train_loss': 11.782558, 'val_loss': 11.804077, 'test_loss': 11.102628}}
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2024-10-14 14:19:11,371 (client:354) INFO: {'Role': 'Client #1', 'Round': 24, 'Results_raw': {'train_loss': 20.471814, 'val_loss': 19.667166, 'test_loss': 19.92027}}
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2024-10-14 14:19:52,138 (client:354) INFO: {'Role': 'Client #5', 'Round': 24, 'Results_raw': {'train_loss': 12.476226, 'val_loss': 12.023476, 'test_loss': 12.057949}}
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2024-10-14 14:19:52,142 (server:615) INFO: {'Role': 'Server #', 'Round': 23, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.817156), 'test_loss': np.float64(73276.388348), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.502971), 'val_loss': np.float64(75690.457489), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.817156), 'test_loss': np.float64(73276.388348), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.502971), 'val_loss': np.float64(75690.457489), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.72103), 'test_avg_loss_bottom_decile': np.float64(17.54069), 'test_avg_loss_top_decile': np.float64(26.620429), 'test_avg_loss_min': np.float64(17.464107), 'test_avg_loss_max': np.float64(26.620429), 'test_avg_loss_bottom10%': np.float64(17.464107), 'test_avg_loss_top10%': np.float64(26.620429), 'test_avg_loss_cos1': np.float64(0.991565), 'test_avg_loss_entropy': np.float64(2.294202), 'test_loss_std': np.float64(9578.026895), 'test_loss_bottom_decile': np.float64(61743.227966), 'test_loss_top_decile': np.float64(93703.909668), 'test_loss_min': np.float64(61473.654907), 'test_loss_max': np.float64(93703.909668), 'test_loss_bottom10%': np.float64(61473.654907), 'test_loss_top10%': np.float64(93703.909668), 'test_loss_cos1': np.float64(0.991565), 'test_loss_entropy': np.float64(2.294202), 'val_avg_loss_std': np.float64(2.634192), 'val_avg_loss_bottom_decile': np.float64(18.405773), 'val_avg_loss_top_decile': np.float64(26.971836), 'val_avg_loss_min': np.float64(18.165917), 'val_avg_loss_max': np.float64(26.971836), 'val_avg_loss_bottom10%': np.float64(18.165917), 'val_avg_loss_top10%': np.float64(26.971836), 'val_avg_loss_cos1': np.float64(0.99258), 'val_avg_loss_entropy': np.float64(2.295194), 'val_loss_std': np.float64(9272.35466), 'val_loss_bottom_decile': np.float64(64788.320374), 'val_loss_top_decile': np.float64(94940.861938), 'val_loss_min': np.float64(63944.027344), 'val_loss_max': np.float64(94940.861938), 'val_loss_bottom10%': np.float64(63944.027344), 'val_loss_top10%': np.float64(94940.861938), 'val_loss_cos1': np.float64(0.99258), 'val_loss_entropy': np.float64(2.295194)}}
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2024-10-14 14:19:52,185 (server:353) INFO: Server: Starting evaluation at the end of round 24.
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2024-10-14 14:19:52,185 (server:359) INFO: ----------- Starting a new training round (Round #25) -------------
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2024-10-14 14:21:44,287 (client:354) INFO: {'Role': 'Client #5', 'Round': 25, 'Results_raw': {'train_loss': 12.423262, 'val_loss': 11.900408, 'test_loss': 12.090727}}
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2024-10-14 14:22:24,854 (client:354) INFO: {'Role': 'Client #2', 'Round': 25, 'Results_raw': {'train_loss': 16.061276, 'val_loss': 16.47017, 'test_loss': 16.359151}}
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2024-10-14 14:23:04,425 (client:354) INFO: {'Role': 'Client #4', 'Round': 25, 'Results_raw': {'train_loss': 15.14105, 'val_loss': 14.315577, 'test_loss': 14.550611}}
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2024-10-14 14:23:46,997 (client:354) INFO: {'Role': 'Client #8', 'Round': 25, 'Results_raw': {'train_loss': 15.090383, 'val_loss': 15.055351, 'test_loss': 13.809039}}
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2024-10-14 14:24:29,136 (client:354) INFO: {'Role': 'Client #10', 'Round': 25, 'Results_raw': {'train_loss': 14.390902, 'val_loss': 14.154856, 'test_loss': 14.608735}}
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2024-10-14 14:25:11,310 (client:354) INFO: {'Role': 'Client #3', 'Round': 25, 'Results_raw': {'train_loss': 18.124904, 'val_loss': 17.802249, 'test_loss': 17.954526}}
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2024-10-14 14:25:50,890 (client:354) INFO: {'Role': 'Client #9', 'Round': 25, 'Results_raw': {'train_loss': 15.634419, 'val_loss': 16.412541, 'test_loss': 14.745745}}
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2024-10-14 14:26:32,408 (client:354) INFO: {'Role': 'Client #1', 'Round': 25, 'Results_raw': {'train_loss': 20.364987, 'val_loss': 19.628957, 'test_loss': 19.955664}}
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2024-10-14 14:27:15,841 (client:354) INFO: {'Role': 'Client #6', 'Round': 25, 'Results_raw': {'train_loss': 12.238518, 'val_loss': 12.843223, 'test_loss': 13.272075}}
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2024-10-14 14:28:00,318 (client:354) INFO: {'Role': 'Client #7', 'Round': 25, 'Results_raw': {'train_loss': 11.670227, 'val_loss': 11.658409, 'test_loss': 10.992289}}
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2024-10-14 14:28:00,323 (server:615) INFO: {'Role': 'Server #', 'Round': 24, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.788733), 'test_loss': np.float64(73176.34162), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.476348), 'val_loss': np.float64(75596.744153), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.788733), 'test_loss': np.float64(73176.34162), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.476348), 'val_loss': np.float64(75596.744153), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.770134), 'test_avg_loss_bottom_decile': np.float64(17.548986), 'test_avg_loss_top_decile': np.float64(26.731222), 'test_avg_loss_min': np.float64(17.364326), 'test_avg_loss_max': np.float64(26.731222), 'test_avg_loss_bottom10%': np.float64(17.364326), 'test_avg_loss_top10%': np.float64(26.731222), 'test_avg_loss_cos1': np.float64(0.991239), 'test_avg_loss_entropy': np.float64(2.293886), 'test_loss_std': np.float64(9750.87059), 'test_loss_bottom_decile': np.float64(61772.430969), 'test_loss_top_decile': np.float64(94093.900574), 'test_loss_min': np.float64(61122.428833), 'test_loss_max': np.float64(94093.900574), 'test_loss_bottom10%': np.float64(61122.428833), 'test_loss_top10%': np.float64(94093.900574), 'test_loss_cos1': np.float64(0.991239), 'test_loss_entropy': np.float64(2.293886), 'val_avg_loss_std': np.float64(2.672348), 'val_avg_loss_bottom_decile': np.float64(18.242292), 'val_avg_loss_top_decile': np.float64(27.059897), 'val_avg_loss_min': np.float64(18.233041), 'val_avg_loss_max': np.float64(27.059897), 'val_avg_loss_bottom10%': np.float64(18.233041), 'val_avg_loss_top10%': np.float64(27.059897), 'val_avg_loss_cos1': np.float64(0.992347), 'val_avg_loss_entropy': np.float64(2.294967), 'val_loss_std': np.float64(9406.665591), 'val_loss_bottom_decile': np.float64(64212.868652), 'val_loss_top_decile': np.float64(95250.838623), 'val_loss_min': np.float64(64180.304749), 'val_loss_max': np.float64(95250.838623), 'val_loss_bottom10%': np.float64(64180.304749), 'val_loss_top10%': np.float64(95250.838623), 'val_loss_cos1': np.float64(0.992347), 'val_loss_entropy': np.float64(2.294967)}}
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2024-10-14 14:28:00,360 (server:353) INFO: Server: Starting evaluation at the end of round 25.
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2024-10-14 14:28:00,361 (server:359) INFO: ----------- Starting a new training round (Round #26) -------------
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2024-10-14 14:29:46,593 (client:354) INFO: {'Role': 'Client #8', 'Round': 26, 'Results_raw': {'train_loss': 14.930936, 'val_loss': 14.682267, 'test_loss': 13.472924}}
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2024-10-14 14:30:28,463 (client:354) INFO: {'Role': 'Client #9', 'Round': 26, 'Results_raw': {'train_loss': 15.594039, 'val_loss': 16.862886, 'test_loss': 15.252553}}
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2024-10-14 14:31:11,081 (client:354) INFO: {'Role': 'Client #7', 'Round': 26, 'Results_raw': {'train_loss': 11.737534, 'val_loss': 11.644019, 'test_loss': 10.986769}}
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2024-10-14 14:31:51,305 (client:354) INFO: {'Role': 'Client #10', 'Round': 26, 'Results_raw': {'train_loss': 14.423403, 'val_loss': 14.197721, 'test_loss': 14.620872}}
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2024-10-14 14:32:34,384 (client:354) INFO: {'Role': 'Client #2', 'Round': 26, 'Results_raw': {'train_loss': 16.041599, 'val_loss': 16.603956, 'test_loss': 16.461176}}
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2024-10-14 14:33:16,970 (client:354) INFO: {'Role': 'Client #5', 'Round': 26, 'Results_raw': {'train_loss': 12.429638, 'val_loss': 11.84363, 'test_loss': 11.90471}}
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2024-10-14 14:34:05,088 (client:354) INFO: {'Role': 'Client #1', 'Round': 26, 'Results_raw': {'train_loss': 20.405302, 'val_loss': 19.783613, 'test_loss': 20.128854}}
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2024-10-14 14:34:45,771 (client:354) INFO: {'Role': 'Client #6', 'Round': 26, 'Results_raw': {'train_loss': 12.250542, 'val_loss': 12.756411, 'test_loss': 13.317077}}
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2024-10-14 14:35:23,695 (client:354) INFO: {'Role': 'Client #4', 'Round': 26, 'Results_raw': {'train_loss': 15.094549, 'val_loss': 13.832354, 'test_loss': 14.142685}}
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2024-10-14 14:36:06,172 (client:354) INFO: {'Role': 'Client #3', 'Round': 26, 'Results_raw': {'train_loss': 18.117961, 'val_loss': 17.881194, 'test_loss': 18.12399}}
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2024-10-14 14:36:06,177 (server:615) INFO: {'Role': 'Server #', 'Round': 25, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.760485), 'test_loss': np.float64(73076.907483), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.436125), 'val_loss': np.float64(75455.161517), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.760485), 'test_loss': np.float64(73076.907483), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.436125), 'val_loss': np.float64(75455.161517), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.722659), 'test_avg_loss_bottom_decile': np.float64(17.549957), 'test_avg_loss_top_decile': np.float64(26.578068), 'test_avg_loss_min': np.float64(17.323888), 'test_avg_loss_max': np.float64(26.578068), 'test_avg_loss_bottom10%': np.float64(17.323888), 'test_avg_loss_top10%': np.float64(26.578068), 'test_avg_loss_cos1': np.float64(0.99151), 'test_avg_loss_entropy': np.float64(2.294153), 'test_loss_std': np.float64(9583.761093), 'test_loss_bottom_decile': np.float64(61775.849854), 'test_loss_top_decile': np.float64(93554.799561), 'test_loss_min': np.float64(60980.087402), 'test_loss_max': np.float64(93554.799561), 'test_loss_bottom10%': np.float64(60980.087402), 'test_loss_top10%': np.float64(93554.799561), 'test_loss_cos1': np.float64(0.99151), 'test_loss_entropy': np.float64(2.294153), 'val_avg_loss_std': np.float64(2.62651), 'val_avg_loss_bottom_decile': np.float64(18.250228), 'val_avg_loss_top_decile': np.float64(26.902002), 'val_avg_loss_min': np.float64(18.178696), 'val_avg_loss_max': np.float64(26.902002), 'val_avg_loss_bottom10%': np.float64(18.178696), 'val_avg_loss_top10%': np.float64(26.902002), 'val_avg_loss_cos1': np.float64(0.992577), 'val_avg_loss_entropy': np.float64(2.295194), 'val_loss_std': np.float64(9245.31595), 'val_loss_bottom_decile': np.float64(64240.802795), 'val_loss_top_decile': np.float64(94695.048096), 'val_loss_min': np.float64(63989.011353), 'val_loss_max': np.float64(94695.048096), 'val_loss_bottom10%': np.float64(63989.011353), 'val_loss_top10%': np.float64(94695.048096), 'val_loss_cos1': np.float64(0.992577), 'val_loss_entropy': np.float64(2.295194)}}
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2024-10-14 14:36:06,218 (server:353) INFO: Server: Starting evaluation at the end of round 26.
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2024-10-14 14:36:06,219 (server:359) INFO: ----------- Starting a new training round (Round #27) -------------
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2024-10-14 14:37:54,589 (client:354) INFO: {'Role': 'Client #9', 'Round': 27, 'Results_raw': {'train_loss': 15.549001, 'val_loss': 16.440806, 'test_loss': 14.860258}}
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2024-10-14 14:38:32,471 (client:354) INFO: {'Role': 'Client #8', 'Round': 27, 'Results_raw': {'train_loss': 14.97136, 'val_loss': 14.879059, 'test_loss': 13.740206}}
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2024-10-14 14:39:12,948 (client:354) INFO: {'Role': 'Client #4', 'Round': 27, 'Results_raw': {'train_loss': 15.060668, 'val_loss': 13.753439, 'test_loss': 13.97594}}
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2024-10-14 14:39:54,097 (client:354) INFO: {'Role': 'Client #1', 'Round': 27, 'Results_raw': {'train_loss': 20.336381, 'val_loss': 19.552227, 'test_loss': 19.857613}}
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2024-10-14 14:40:33,566 (client:354) INFO: {'Role': 'Client #2', 'Round': 27, 'Results_raw': {'train_loss': 16.01542, 'val_loss': 16.623458, 'test_loss': 16.472218}}
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2024-10-14 14:41:15,212 (client:354) INFO: {'Role': 'Client #3', 'Round': 27, 'Results_raw': {'train_loss': 18.059876, 'val_loss': 17.79244, 'test_loss': 17.881322}}
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2024-10-14 14:41:57,739 (client:354) INFO: {'Role': 'Client #7', 'Round': 27, 'Results_raw': {'train_loss': 11.59977, 'val_loss': 11.667806, 'test_loss': 11.034718}}
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2024-10-14 14:42:38,839 (client:354) INFO: {'Role': 'Client #10', 'Round': 27, 'Results_raw': {'train_loss': 14.429905, 'val_loss': 14.158836, 'test_loss': 14.58832}}
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2024-10-14 14:43:19,729 (client:354) INFO: {'Role': 'Client #6', 'Round': 27, 'Results_raw': {'train_loss': 12.185239, 'val_loss': 12.87198, 'test_loss': 13.399606}}
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2024-10-14 14:44:04,485 (client:354) INFO: {'Role': 'Client #5', 'Round': 27, 'Results_raw': {'train_loss': 12.352118, 'val_loss': 11.886281, 'test_loss': 11.915089}}
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2024-10-14 14:44:04,490 (server:615) INFO: {'Role': 'Server #', 'Round': 26, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.760138), 'test_loss': np.float64(73075.685663), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.43129), 'val_loss': np.float64(75438.14129), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.760138), 'test_loss': np.float64(73075.685663), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.43129), 'val_loss': np.float64(75438.14129), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.773467), 'test_avg_loss_bottom_decile': np.float64(17.624307), 'test_avg_loss_top_decile': np.float64(26.742108), 'test_avg_loss_min': np.float64(17.192577), 'test_avg_loss_max': np.float64(26.742108), 'test_avg_loss_bottom10%': np.float64(17.192577), 'test_avg_loss_top10%': np.float64(26.742108), 'test_avg_loss_cos1': np.float64(0.991194), 'test_avg_loss_entropy': np.float64(2.293843), 'test_loss_std': np.float64(9762.604365), 'test_loss_bottom_decile': np.float64(62037.559021), 'test_loss_top_decile': np.float64(94132.220947), 'test_loss_min': np.float64(60517.872559), 'test_loss_max': np.float64(94132.220947), 'test_loss_bottom10%': np.float64(60517.872559), 'test_loss_top10%': np.float64(94132.220947), 'test_loss_cos1': np.float64(0.991194), 'test_loss_entropy': np.float64(2.293843), 'val_avg_loss_std': np.float64(2.684596), 'val_avg_loss_bottom_decile': np.float64(18.298957), 'val_avg_loss_top_decile': np.float64(27.05553), 'val_avg_loss_min': np.float64(18.029262), 'val_avg_loss_max': np.float64(27.05553), 'val_avg_loss_bottom10%': np.float64(18.029262), 'val_avg_loss_top10%': np.float64(27.05553), 'val_avg_loss_cos1': np.float64(0.992245), 'val_avg_loss_entropy': np.float64(2.294866), 'val_loss_std': np.float64(9449.777292), 'val_loss_bottom_decile': np.float64(64412.328125), 'val_loss_top_decile': np.float64(95235.465759), 'val_loss_min': np.float64(63463.000854), 'val_loss_max': np.float64(95235.465759), 'val_loss_bottom10%': np.float64(63463.000854), 'val_loss_top10%': np.float64(95235.465759), 'val_loss_cos1': np.float64(0.992245), 'val_loss_entropy': np.float64(2.294866)}}
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2024-10-14 14:44:04,529 (server:353) INFO: Server: Starting evaluation at the end of round 27.
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2024-10-14 14:44:04,530 (server:359) INFO: ----------- Starting a new training round (Round #28) -------------
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2024-10-14 14:45:53,412 (client:354) INFO: {'Role': 'Client #8', 'Round': 28, 'Results_raw': {'train_loss': 14.90674, 'val_loss': 14.91166, 'test_loss': 13.755539}}
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2024-10-14 14:46:42,393 (client:354) INFO: {'Role': 'Client #9', 'Round': 28, 'Results_raw': {'train_loss': 15.467606, 'val_loss': 16.435385, 'test_loss': 14.912861}}
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2024-10-14 14:47:23,174 (client:354) INFO: {'Role': 'Client #3', 'Round': 28, 'Results_raw': {'train_loss': 17.974077, 'val_loss': 17.711132, 'test_loss': 17.863136}}
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2024-10-14 14:48:04,852 (client:354) INFO: {'Role': 'Client #4', 'Round': 28, 'Results_raw': {'train_loss': 15.117025, 'val_loss': 13.987042, 'test_loss': 14.3117}}
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2024-10-14 14:48:45,985 (client:354) INFO: {'Role': 'Client #6', 'Round': 28, 'Results_raw': {'train_loss': 12.153469, 'val_loss': 12.925887, 'test_loss': 13.335873}}
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2024-10-14 14:49:27,133 (client:354) INFO: {'Role': 'Client #1', 'Round': 28, 'Results_raw': {'train_loss': 20.277295, 'val_loss': 19.786574, 'test_loss': 20.066204}}
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2024-10-14 14:50:09,362 (client:354) INFO: {'Role': 'Client #2', 'Round': 28, 'Results_raw': {'train_loss': 16.030166, 'val_loss': 16.381056, 'test_loss': 16.299927}}
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2024-10-14 14:50:51,881 (client:354) INFO: {'Role': 'Client #10', 'Round': 28, 'Results_raw': {'train_loss': 14.426324, 'val_loss': 14.042988, 'test_loss': 14.47705}}
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2024-10-14 14:51:33,345 (client:354) INFO: {'Role': 'Client #7', 'Round': 28, 'Results_raw': {'train_loss': 11.621871, 'val_loss': 11.726214, 'test_loss': 11.016272}}
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2024-10-14 14:52:16,234 (client:354) INFO: {'Role': 'Client #5', 'Round': 28, 'Results_raw': {'train_loss': 12.314411, 'val_loss': 11.905355, 'test_loss': 12.095732}}
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2024-10-14 14:52:16,241 (server:615) INFO: {'Role': 'Server #', 'Round': 27, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.774621), 'test_loss': np.float64(73126.666229), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.451213), 'val_loss': np.float64(75508.27066), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.774621), 'test_loss': np.float64(73126.666229), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.451213), 'val_loss': np.float64(75508.27066), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.718796), 'test_avg_loss_bottom_decile': np.float64(17.597761), 'test_avg_loss_top_decile': np.float64(26.684636), 'test_avg_loss_min': np.float64(17.482492), 'test_avg_loss_max': np.float64(26.684636), 'test_avg_loss_bottom10%': np.float64(17.482492), 'test_avg_loss_top10%': np.float64(26.684636), 'test_avg_loss_cos1': np.float64(0.991545), 'test_avg_loss_entropy': np.float64(2.294214), 'test_loss_std': np.float64(9570.160835), 'test_loss_bottom_decile': np.float64(61944.119995), 'test_loss_top_decile': np.float64(93929.920105), 'test_loss_min': np.float64(61538.37262), 'test_loss_max': np.float64(93929.920105), 'test_loss_bottom10%': np.float64(61538.37262), 'test_loss_top10%': np.float64(93929.920105), 'test_loss_cos1': np.float64(0.991545), 'test_loss_entropy': np.float64(2.294214), 'val_avg_loss_std': np.float64(2.635655), 'val_avg_loss_bottom_decile': np.float64(18.330326), 'val_avg_loss_top_decile': np.float64(27.01485), 'val_avg_loss_min': np.float64(18.277369), 'val_avg_loss_max': np.float64(27.01485), 'val_avg_loss_bottom10%': np.float64(18.277369), 'val_avg_loss_top10%': np.float64(27.01485), 'val_avg_loss_cos1': np.float64(0.992536), 'val_avg_loss_entropy': np.float64(2.295172), 'val_loss_std': np.float64(9277.504706), 'val_loss_bottom_decile': np.float64(64522.747314), 'val_loss_top_decile': np.float64(95092.272522), 'val_loss_min': np.float64(64336.337341), 'val_loss_max': np.float64(95092.272522), 'val_loss_bottom10%': np.float64(64336.337341), 'val_loss_top10%': np.float64(95092.272522), 'val_loss_cos1': np.float64(0.992536), 'val_loss_entropy': np.float64(2.295172)}}
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2024-10-14 14:52:16,290 (server:353) INFO: Server: Starting evaluation at the end of round 28.
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2024-10-14 14:52:16,291 (server:359) INFO: ----------- Starting a new training round (Round #29) -------------
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2024-10-14 14:54:08,700 (client:354) INFO: {'Role': 'Client #1', 'Round': 29, 'Results_raw': {'train_loss': 20.215667, 'val_loss': 19.596655, 'test_loss': 20.028882}}
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2024-10-14 14:54:47,998 (client:354) INFO: {'Role': 'Client #5', 'Round': 29, 'Results_raw': {'train_loss': 12.273052, 'val_loss': 11.868326, 'test_loss': 11.775014}}
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2024-10-14 14:55:28,801 (client:354) INFO: {'Role': 'Client #7', 'Round': 29, 'Results_raw': {'train_loss': 11.67896, 'val_loss': 11.588484, 'test_loss': 10.928364}}
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2024-10-14 14:56:09,085 (client:354) INFO: {'Role': 'Client #6', 'Round': 29, 'Results_raw': {'train_loss': 12.170708, 'val_loss': 12.680787, 'test_loss': 12.975323}}
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2024-10-14 14:56:50,358 (client:354) INFO: {'Role': 'Client #3', 'Round': 29, 'Results_raw': {'train_loss': 17.993214, 'val_loss': 17.823531, 'test_loss': 18.049982}}
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2024-10-14 14:57:29,753 (client:354) INFO: {'Role': 'Client #4', 'Round': 29, 'Results_raw': {'train_loss': 15.033695, 'val_loss': 13.56688, 'test_loss': 13.873275}}
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2024-10-14 14:58:09,919 (client:354) INFO: {'Role': 'Client #9', 'Round': 29, 'Results_raw': {'train_loss': 15.455519, 'val_loss': 16.409312, 'test_loss': 14.791454}}
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2024-10-14 14:58:56,863 (client:354) INFO: {'Role': 'Client #10', 'Round': 29, 'Results_raw': {'train_loss': 14.309478, 'val_loss': 14.200937, 'test_loss': 14.642225}}
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2024-10-14 14:59:38,217 (client:354) INFO: {'Role': 'Client #2', 'Round': 29, 'Results_raw': {'train_loss': 15.954287, 'val_loss': 16.487974, 'test_loss': 16.323855}}
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2024-10-14 15:00:17,722 (client:354) INFO: {'Role': 'Client #8', 'Round': 29, 'Results_raw': {'train_loss': 14.829884, 'val_loss': 14.887081, 'test_loss': 13.648632}}
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2024-10-14 15:00:17,726 (server:615) INFO: {'Role': 'Server #', 'Round': 28, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.787284), 'test_loss': np.float64(73171.239801), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.463002), 'val_loss': np.float64(75549.766699), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.787284), 'test_loss': np.float64(73171.239801), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.463002), 'val_loss': np.float64(75549.766699), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.771711), 'test_avg_loss_bottom_decile': np.float64(17.690105), 'test_avg_loss_top_decile': np.float64(26.83043), 'test_avg_loss_min': np.float64(17.301257), 'test_avg_loss_max': np.float64(26.83043), 'test_avg_loss_bottom10%': np.float64(17.301257), 'test_avg_loss_top10%': np.float64(26.83043), 'test_avg_loss_cos1': np.float64(0.991227), 'test_avg_loss_entropy': np.float64(2.293897), 'test_loss_std': np.float64(9756.423658), 'test_loss_bottom_decile': np.float64(62269.170593), 'test_loss_top_decile': np.float64(94443.114014), 'test_loss_min': np.float64(60900.42627), 'test_loss_max': np.float64(94443.114014), 'test_loss_bottom10%': np.float64(60900.42627), 'test_loss_top10%': np.float64(94443.114014), 'test_loss_cos1': np.float64(0.991227), 'test_loss_entropy': np.float64(2.293897), 'val_avg_loss_std': np.float64(2.6817), 'val_avg_loss_bottom_decile': np.float64(18.375585), 'val_avg_loss_top_decile': np.float64(27.132321), 'val_avg_loss_min': np.float64(18.133679), 'val_avg_loss_max': np.float64(27.132321), 'val_avg_loss_bottom10%': np.float64(18.133679), 'val_avg_loss_top10%': np.float64(27.132321), 'val_avg_loss_cos1': np.float64(0.992285), 'val_avg_loss_entropy': np.float64(2.294919), 'val_loss_std': np.float64(9439.582384), 'val_loss_bottom_decile': np.float64(64682.057678), 'val_loss_top_decile': np.float64(95505.771484), 'val_loss_min': np.float64(63830.54834), 'val_loss_max': np.float64(95505.771484), 'val_loss_bottom10%': np.float64(63830.54834), 'val_loss_top10%': np.float64(95505.771484), 'val_loss_cos1': np.float64(0.992285), 'val_loss_entropy': np.float64(2.294919)}}
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2024-10-14 15:00:17,762 (server:353) INFO: Server: Starting evaluation at the end of round 29.
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2024-10-14 15:00:17,762 (server:359) INFO: ----------- Starting a new training round (Round #30) -------------
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2024-10-14 15:02:03,960 (client:354) INFO: {'Role': 'Client #7', 'Round': 30, 'Results_raw': {'train_loss': 11.562891, 'val_loss': 11.696389, 'test_loss': 11.076867}}
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2024-10-14 15:02:43,580 (client:354) INFO: {'Role': 'Client #6', 'Round': 30, 'Results_raw': {'train_loss': 12.131055, 'val_loss': 12.754786, 'test_loss': 13.187019}}
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2024-10-14 15:03:22,101 (client:354) INFO: {'Role': 'Client #10', 'Round': 30, 'Results_raw': {'train_loss': 14.303025, 'val_loss': 14.0778, 'test_loss': 14.644305}}
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2024-10-14 15:04:02,738 (client:354) INFO: {'Role': 'Client #8', 'Round': 30, 'Results_raw': {'train_loss': 14.78326, 'val_loss': 15.143535, 'test_loss': 13.825823}}
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2024-10-14 15:04:44,649 (client:354) INFO: {'Role': 'Client #3', 'Round': 30, 'Results_raw': {'train_loss': 17.933694, 'val_loss': 17.752745, 'test_loss': 17.971294}}
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2024-10-14 15:05:27,367 (client:354) INFO: {'Role': 'Client #2', 'Round': 30, 'Results_raw': {'train_loss': 15.961367, 'val_loss': 16.484404, 'test_loss': 16.360128}}
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2024-10-14 15:06:10,415 (client:354) INFO: {'Role': 'Client #5', 'Round': 30, 'Results_raw': {'train_loss': 12.221391, 'val_loss': 11.70849, 'test_loss': 12.046085}}
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2024-10-14 15:06:51,494 (client:354) INFO: {'Role': 'Client #4', 'Round': 30, 'Results_raw': {'train_loss': 15.009156, 'val_loss': 14.036138, 'test_loss': 14.438262}}
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2024-10-14 15:07:33,227 (client:354) INFO: {'Role': 'Client #9', 'Round': 30, 'Results_raw': {'train_loss': 15.424181, 'val_loss': 16.638298, 'test_loss': 15.012843}}
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2024-10-14 15:08:14,844 (client:354) INFO: {'Role': 'Client #1', 'Round': 30, 'Results_raw': {'train_loss': 20.18602, 'val_loss': 19.604223, 'test_loss': 19.925226}}
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2024-10-14 15:08:14,849 (server:615) INFO: {'Role': 'Server #', 'Round': 29, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.644278), 'test_loss': np.float64(72667.857257), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.300108), 'val_loss': np.float64(74976.380286), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.644278), 'test_loss': np.float64(72667.857257), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.300108), 'val_loss': np.float64(74976.380286), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.768652), 'test_avg_loss_bottom_decile': np.float64(17.520082), 'test_avg_loss_top_decile': np.float64(26.612085), 'test_avg_loss_min': np.float64(17.112862), 'test_avg_loss_max': np.float64(26.612085), 'test_avg_loss_bottom10%': np.float64(17.112862), 'test_avg_loss_top10%': np.float64(26.612085), 'test_avg_loss_cos1': np.float64(0.991126), 'test_avg_loss_entropy': np.float64(2.293779), 'test_loss_std': np.float64(9745.653482), 'test_loss_bottom_decile': np.float64(61670.689575), 'test_loss_top_decile': np.float64(93674.537598), 'test_loss_min': np.float64(60237.274536), 'test_loss_max': np.float64(93674.537598), 'test_loss_bottom10%': np.float64(60237.274536), 'test_loss_top10%': np.float64(93674.537598), 'test_loss_cos1': np.float64(0.991126), 'test_loss_entropy': np.float64(2.293779), 'val_avg_loss_std': np.float64(2.675118), 'val_avg_loss_bottom_decile': np.float64(18.204248), 'val_avg_loss_top_decile': np.float64(26.902305), 'val_avg_loss_min': np.float64(17.936763), 'val_avg_loss_max': np.float64(26.902305), 'val_avg_loss_bottom10%': np.float64(17.936763), 'val_avg_loss_top10%': np.float64(26.902305), 'val_avg_loss_cos1': np.float64(0.992205), 'val_avg_loss_entropy': np.float64(2.29483), 'val_loss_std': np.float64(9416.416571), 'val_loss_bottom_decile': np.float64(64078.952026), 'val_loss_top_decile': np.float64(94696.114136), 'val_loss_min': np.float64(63137.405518), 'val_loss_max': np.float64(94696.114136), 'val_loss_bottom10%': np.float64(63137.405518), 'val_loss_top10%': np.float64(94696.114136), 'val_loss_cos1': np.float64(0.992205), 'val_loss_entropy': np.float64(2.29483)}}
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2024-10-14 15:08:14,891 (server:353) INFO: Server: Starting evaluation at the end of round 30.
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2024-10-14 15:08:14,892 (server:359) INFO: ----------- Starting a new training round (Round #31) -------------
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2024-10-14 15:10:05,008 (client:354) INFO: {'Role': 'Client #4', 'Round': 31, 'Results_raw': {'train_loss': 14.974544, 'val_loss': 14.005172, 'test_loss': 14.479132}}
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2024-10-14 15:10:48,024 (client:354) INFO: {'Role': 'Client #2', 'Round': 31, 'Results_raw': {'train_loss': 15.977963, 'val_loss': 16.518692, 'test_loss': 16.386033}}
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2024-10-14 15:11:33,894 (client:354) INFO: {'Role': 'Client #5', 'Round': 31, 'Results_raw': {'train_loss': 12.166043, 'val_loss': 11.790386, 'test_loss': 11.839838}}
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2024-10-14 15:12:16,987 (client:354) INFO: {'Role': 'Client #10', 'Round': 31, 'Results_raw': {'train_loss': 14.286741, 'val_loss': 14.207495, 'test_loss': 14.670037}}
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2024-10-14 15:12:56,604 (client:354) INFO: {'Role': 'Client #3', 'Round': 31, 'Results_raw': {'train_loss': 17.929925, 'val_loss': 17.861797, 'test_loss': 18.124648}}
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2024-10-14 15:13:36,590 (client:354) INFO: {'Role': 'Client #9', 'Round': 31, 'Results_raw': {'train_loss': 15.426783, 'val_loss': 16.572393, 'test_loss': 14.80224}}
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2024-10-14 15:14:17,485 (client:354) INFO: {'Role': 'Client #1', 'Round': 31, 'Results_raw': {'train_loss': 20.21695, 'val_loss': 19.526606, 'test_loss': 19.864556}}
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2024-10-14 15:14:59,332 (client:354) INFO: {'Role': 'Client #6', 'Round': 31, 'Results_raw': {'train_loss': 12.142142, 'val_loss': 12.70917, 'test_loss': 13.070185}}
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2024-10-14 15:15:41,628 (client:354) INFO: {'Role': 'Client #7', 'Round': 31, 'Results_raw': {'train_loss': 11.643581, 'val_loss': 11.68099, 'test_loss': 10.970813}}
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2024-10-14 15:16:23,748 (client:354) INFO: {'Role': 'Client #8', 'Round': 31, 'Results_raw': {'train_loss': 14.701734, 'val_loss': 15.252357, 'test_loss': 13.82888}}
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2024-10-14 15:16:23,752 (server:615) INFO: {'Role': 'Server #', 'Round': 30, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.782788), 'test_loss': np.float64(73155.414484), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.438833), 'val_loss': np.float64(75464.69057), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.782788), 'test_loss': np.float64(73155.414484), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.438833), 'val_loss': np.float64(75464.69057), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.766295), 'test_avg_loss_bottom_decile': np.float64(17.576937), 'test_avg_loss_top_decile': np.float64(26.753885), 'test_avg_loss_min': np.float64(17.409337), 'test_avg_loss_max': np.float64(26.753885), 'test_avg_loss_bottom10%': np.float64(17.409337), 'test_avg_loss_top10%': np.float64(26.753885), 'test_avg_loss_cos1': np.float64(0.991258), 'test_avg_loss_entropy': np.float64(2.293915), 'test_loss_std': np.float64(9737.356744), 'test_loss_bottom_decile': np.float64(61870.817505), 'test_loss_top_decile': np.float64(94173.675964), 'test_loss_min': np.float64(61280.866028), 'test_loss_max': np.float64(94173.675964), 'test_loss_bottom10%': np.float64(61280.866028), 'test_loss_top10%': np.float64(94173.675964), 'test_loss_cos1': np.float64(0.991258), 'test_loss_entropy': np.float64(2.293915), 'val_avg_loss_std': np.float64(2.670497), 'val_avg_loss_bottom_decile': np.float64(18.251639), 'val_avg_loss_top_decile': np.float64(27.034472), 'val_avg_loss_min': np.float64(18.24134), 'val_avg_loss_max': np.float64(27.034472), 'val_avg_loss_bottom10%': np.float64(18.24134), 'val_avg_loss_top10%': np.float64(27.034472), 'val_avg_loss_cos1': np.float64(0.992331), 'val_avg_loss_entropy': np.float64(2.294958), 'val_loss_std': np.float64(9400.151116), 'val_loss_bottom_decile': np.float64(64245.767639), 'val_loss_top_decile': np.float64(95161.340881), 'val_loss_min': np.float64(64209.517578), 'val_loss_max': np.float64(95161.340881), 'val_loss_bottom10%': np.float64(64209.517578), 'val_loss_top10%': np.float64(95161.340881), 'val_loss_cos1': np.float64(0.992331), 'val_loss_entropy': np.float64(2.294958)}}
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2024-10-14 15:16:23,791 (server:353) INFO: Server: Starting evaluation at the end of round 31.
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2024-10-14 15:16:23,791 (server:359) INFO: ----------- Starting a new training round (Round #32) -------------
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2024-10-14 15:18:15,780 (client:354) INFO: {'Role': 'Client #5', 'Round': 32, 'Results_raw': {'train_loss': 12.200972, 'val_loss': 11.860064, 'test_loss': 11.964834}}
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2024-10-14 15:18:56,756 (client:354) INFO: {'Role': 'Client #10', 'Round': 32, 'Results_raw': {'train_loss': 14.212827, 'val_loss': 14.074956, 'test_loss': 14.588153}}
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2024-10-14 15:19:38,587 (client:354) INFO: {'Role': 'Client #3', 'Round': 32, 'Results_raw': {'train_loss': 17.905574, 'val_loss': 17.664523, 'test_loss': 17.876036}}
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2024-10-14 15:20:19,700 (client:354) INFO: {'Role': 'Client #2', 'Round': 32, 'Results_raw': {'train_loss': 15.9299, 'val_loss': 16.752166, 'test_loss': 16.481582}}
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2024-10-14 15:21:01,124 (client:354) INFO: {'Role': 'Client #7', 'Round': 32, 'Results_raw': {'train_loss': 11.576125, 'val_loss': 11.571413, 'test_loss': 10.874202}}
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2024-10-14 15:21:43,873 (client:354) INFO: {'Role': 'Client #8', 'Round': 32, 'Results_raw': {'train_loss': 14.749413, 'val_loss': 14.749768, 'test_loss': 13.532982}}
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2024-10-14 15:22:24,979 (client:354) INFO: {'Role': 'Client #9', 'Round': 32, 'Results_raw': {'train_loss': 15.375034, 'val_loss': 16.355664, 'test_loss': 14.847886}}
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2024-10-14 15:23:06,804 (client:354) INFO: {'Role': 'Client #1', 'Round': 32, 'Results_raw': {'train_loss': 20.15046, 'val_loss': 19.411211, 'test_loss': 19.8009}}
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2024-10-14 15:23:52,554 (client:354) INFO: {'Role': 'Client #4', 'Round': 32, 'Results_raw': {'train_loss': 14.91707, 'val_loss': 13.769498, 'test_loss': 14.015514}}
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2024-10-14 15:24:32,556 (client:354) INFO: {'Role': 'Client #6', 'Round': 32, 'Results_raw': {'train_loss': 12.129211, 'val_loss': 12.779026, 'test_loss': 13.102375}}
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2024-10-14 15:24:32,561 (server:615) INFO: {'Role': 'Server #', 'Round': 31, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.559941), 'test_loss': np.float64(72370.991443), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.217045), 'val_loss': np.float64(74683.997473), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.559941), 'test_loss': np.float64(72370.991443), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.217045), 'val_loss': np.float64(74683.997473), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.704266), 'test_avg_loss_bottom_decile': np.float64(17.411687), 'test_avg_loss_top_decile': np.float64(26.445209), 'test_avg_loss_min': np.float64(17.26089), 'test_avg_loss_max': np.float64(26.445209), 'test_avg_loss_bottom10%': np.float64(17.26089), 'test_avg_loss_top10%': np.float64(26.445209), 'test_avg_loss_cos1': np.float64(0.99146), 'test_avg_loss_entropy': np.float64(2.294129), 'test_loss_std': np.float64(9519.017116), 'test_loss_bottom_decile': np.float64(61289.138306), 'test_loss_top_decile': np.float64(93087.135132), 'test_loss_min': np.float64(60758.333191), 'test_loss_max': np.float64(93087.135132), 'test_loss_bottom10%': np.float64(60758.333191), 'test_loss_top10%': np.float64(93087.135132), 'test_loss_cos1': np.float64(0.99146), 'test_loss_entropy': np.float64(2.294129), 'val_avg_loss_std': np.float64(2.600734), 'val_avg_loss_bottom_decile': np.float64(18.099047), 'val_avg_loss_top_decile': np.float64(26.728538), 'val_avg_loss_min': np.float64(18.098537), 'val_avg_loss_max': np.float64(26.728538), 'val_avg_loss_bottom10%': np.float64(18.098537), 'val_avg_loss_top10%': np.float64(26.728538), 'val_avg_loss_cos1': np.float64(0.992571), 'val_avg_loss_entropy': np.float64(2.295206), 'val_loss_std': np.float64(9154.585203), 'val_loss_bottom_decile': np.float64(63708.645752), 'val_loss_top_decile': np.float64(94084.455261), 'val_loss_min': np.float64(63706.85144), 'val_loss_max': np.float64(94084.455261), 'val_loss_bottom10%': np.float64(63706.85144), 'val_loss_top10%': np.float64(94084.455261), 'val_loss_cos1': np.float64(0.992571), 'val_loss_entropy': np.float64(2.295206)}}
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2024-10-14 15:24:32,607 (server:353) INFO: Server: Starting evaluation at the end of round 32.
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2024-10-14 15:24:32,608 (server:359) INFO: ----------- Starting a new training round (Round #33) -------------
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2024-10-14 15:26:19,493 (client:354) INFO: {'Role': 'Client #9', 'Round': 33, 'Results_raw': {'train_loss': 15.386283, 'val_loss': 16.322941, 'test_loss': 14.833926}}
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2024-10-14 15:27:01,414 (client:354) INFO: {'Role': 'Client #8', 'Round': 33, 'Results_raw': {'train_loss': 14.720605, 'val_loss': 15.5319, 'test_loss': 13.924827}}
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2024-10-14 15:27:43,363 (client:354) INFO: {'Role': 'Client #7', 'Round': 33, 'Results_raw': {'train_loss': 11.485875, 'val_loss': 11.570665, 'test_loss': 10.887458}}
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2024-10-14 15:28:25,155 (client:354) INFO: {'Role': 'Client #10', 'Round': 33, 'Results_raw': {'train_loss': 14.248431, 'val_loss': 14.119992, 'test_loss': 14.401617}}
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2024-10-14 15:29:08,084 (client:354) INFO: {'Role': 'Client #1', 'Round': 33, 'Results_raw': {'train_loss': 20.130583, 'val_loss': 19.635567, 'test_loss': 19.989731}}
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2024-10-14 15:29:50,698 (client:354) INFO: {'Role': 'Client #5', 'Round': 33, 'Results_raw': {'train_loss': 12.199486, 'val_loss': 11.769929, 'test_loss': 12.165899}}
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2024-10-14 15:30:32,622 (client:354) INFO: {'Role': 'Client #3', 'Round': 33, 'Results_raw': {'train_loss': 17.878263, 'val_loss': 17.87176, 'test_loss': 18.017762}}
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2024-10-14 15:31:15,157 (client:354) INFO: {'Role': 'Client #6', 'Round': 33, 'Results_raw': {'train_loss': 12.139046, 'val_loss': 12.694496, 'test_loss': 12.982619}}
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2024-10-14 15:31:56,667 (client:354) INFO: {'Role': 'Client #2', 'Round': 33, 'Results_raw': {'train_loss': 15.842006, 'val_loss': 16.708167, 'test_loss': 16.490813}}
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2024-10-14 15:32:38,499 (client:354) INFO: {'Role': 'Client #4', 'Round': 33, 'Results_raw': {'train_loss': 14.921763, 'val_loss': 13.915628, 'test_loss': 14.209395}}
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2024-10-14 15:32:38,503 (server:615) INFO: {'Role': 'Server #', 'Round': 32, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.586859), 'test_loss': np.float64(72465.74201), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.247319), 'val_loss': np.float64(74790.561578), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.586859), 'test_loss': np.float64(72465.74201), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.247319), 'val_loss': np.float64(74790.561578), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.698621), 'test_avg_loss_bottom_decile': np.float64(17.46803), 'test_avg_loss_top_decile': np.float64(26.540077), 'test_avg_loss_min': np.float64(17.438915), 'test_avg_loss_max': np.float64(26.540077), 'test_avg_loss_bottom10%': np.float64(17.438915), 'test_avg_loss_top10%': np.float64(26.540077), 'test_avg_loss_cos1': np.float64(0.991518), 'test_avg_loss_entropy': np.float64(2.294209), 'test_loss_std': np.float64(9499.145866), 'test_loss_bottom_decile': np.float64(61487.464294), 'test_loss_top_decile': np.float64(93421.071533), 'test_loss_min': np.float64(61384.98053), 'test_loss_max': np.float64(93421.071533), 'test_loss_bottom10%': np.float64(61384.98053), 'test_loss_top10%': np.float64(93421.071533), 'test_loss_cos1': np.float64(0.991518), 'test_loss_entropy': np.float64(2.294209), 'val_avg_loss_std': np.float64(2.598564), 'val_avg_loss_bottom_decile': np.float64(18.315927), 'val_avg_loss_top_decile': np.float64(26.806006), 'val_avg_loss_min': np.float64(18.121272), 'val_avg_loss_max': np.float64(26.806006), 'val_avg_loss_bottom10%': np.float64(18.121272), 'val_avg_loss_top10%': np.float64(26.806006), 'val_avg_loss_cos1': np.float64(0.992604), 'val_avg_loss_entropy': np.float64(2.295254), 'val_loss_std': np.float64(9146.943803), 'val_loss_bottom_decile': np.float64(64472.063477), 'val_loss_top_decile': np.float64(94357.142578), 'val_loss_min': np.float64(63786.876343), 'val_loss_max': np.float64(94357.142578), 'val_loss_bottom10%': np.float64(63786.876343), 'val_loss_top10%': np.float64(94357.142578), 'val_loss_cos1': np.float64(0.992604), 'val_loss_entropy': np.float64(2.295254)}}
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2024-10-14 15:32:38,541 (server:353) INFO: Server: Starting evaluation at the end of round 33.
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2024-10-14 15:32:38,542 (server:359) INFO: ----------- Starting a new training round (Round #34) -------------
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2024-10-14 15:34:24,791 (client:354) INFO: {'Role': 'Client #4', 'Round': 34, 'Results_raw': {'train_loss': 14.863277, 'val_loss': 13.614554, 'test_loss': 14.038012}}
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2024-10-14 15:35:06,581 (client:354) INFO: {'Role': 'Client #7', 'Round': 34, 'Results_raw': {'train_loss': 11.487128, 'val_loss': 11.546978, 'test_loss': 10.852747}}
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2024-10-14 15:35:45,820 (client:354) INFO: {'Role': 'Client #8', 'Round': 34, 'Results_raw': {'train_loss': 14.656119, 'val_loss': 14.852746, 'test_loss': 13.66412}}
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2024-10-14 15:36:33,146 (client:354) INFO: {'Role': 'Client #10', 'Round': 34, 'Results_raw': {'train_loss': 14.209827, 'val_loss': 14.11452, 'test_loss': 14.659819}}
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2024-10-14 15:37:11,918 (client:354) INFO: {'Role': 'Client #5', 'Round': 34, 'Results_raw': {'train_loss': 12.147124, 'val_loss': 11.773719, 'test_loss': 11.807489}}
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2024-10-14 15:37:51,247 (client:354) INFO: {'Role': 'Client #2', 'Round': 34, 'Results_raw': {'train_loss': 15.885643, 'val_loss': 16.598567, 'test_loss': 16.414262}}
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2024-10-14 15:38:32,497 (client:354) INFO: {'Role': 'Client #9', 'Round': 34, 'Results_raw': {'train_loss': 15.278256, 'val_loss': 16.12998, 'test_loss': 14.775117}}
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2024-10-14 15:39:12,916 (client:354) INFO: {'Role': 'Client #3', 'Round': 34, 'Results_raw': {'train_loss': 17.882826, 'val_loss': 17.674701, 'test_loss': 17.913477}}
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2024-10-14 15:39:54,974 (client:354) INFO: {'Role': 'Client #1', 'Round': 34, 'Results_raw': {'train_loss': 20.12949, 'val_loss': 19.379785, 'test_loss': 19.775335}}
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2024-10-14 15:40:36,098 (client:354) INFO: {'Role': 'Client #6', 'Round': 34, 'Results_raw': {'train_loss': 12.095252, 'val_loss': 12.656411, 'test_loss': 13.081025}}
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2024-10-14 15:40:36,102 (server:615) INFO: {'Role': 'Server #', 'Round': 33, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.493489), 'test_loss': np.float64(72137.081165), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.155495), 'val_loss': np.float64(74467.343488), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.493489), 'test_loss': np.float64(72137.081165), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.155495), 'val_loss': np.float64(74467.343488), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.713222), 'test_avg_loss_bottom_decile': np.float64(17.368722), 'test_avg_loss_top_decile': np.float64(26.445117), 'test_avg_loss_min': np.float64(17.232468), 'test_avg_loss_max': np.float64(26.445117), 'test_avg_loss_bottom10%': np.float64(17.232468), 'test_avg_loss_top10%': np.float64(26.445117), 'test_avg_loss_cos1': np.float64(0.991349), 'test_avg_loss_entropy': np.float64(2.294034), 'test_loss_std': np.float64(9550.540956), 'test_loss_bottom_decile': np.float64(61137.901489), 'test_loss_top_decile': np.float64(93086.811707), 'test_loss_min': np.float64(60658.287476), 'test_loss_max': np.float64(93086.811707), 'test_loss_bottom10%': np.float64(60658.287476), 'test_loss_top10%': np.float64(93086.811707), 'test_loss_cos1': np.float64(0.991349), 'test_loss_entropy': np.float64(2.294034), 'val_avg_loss_std': np.float64(2.615226), 'val_avg_loss_bottom_decile': np.float64(18.065539), 'val_avg_loss_top_decile': np.float64(26.706665), 'val_avg_loss_min': np.float64(18.034835), 'val_avg_loss_max': np.float64(26.706665), 'val_avg_loss_bottom10%': np.float64(18.034835), 'val_avg_loss_top10%': np.float64(26.706665), 'val_avg_loss_cos1': np.float64(0.992446), 'val_avg_loss_entropy': np.float64(2.295088), 'val_loss_std': np.float64(9205.596559), 'val_loss_bottom_decile': np.float64(63590.695862), 'val_loss_top_decile': np.float64(94007.459534), 'val_loss_min': np.float64(63482.618652), 'val_loss_max': np.float64(94007.459534), 'val_loss_bottom10%': np.float64(63482.618652), 'val_loss_top10%': np.float64(94007.459534), 'val_loss_cos1': np.float64(0.992446), 'val_loss_entropy': np.float64(2.295088)}}
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2024-10-14 15:40:36,145 (server:353) INFO: Server: Starting evaluation at the end of round 34.
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2024-10-14 15:40:36,146 (server:359) INFO: ----------- Starting a new training round (Round #35) -------------
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2024-10-14 15:42:24,052 (client:354) INFO: {'Role': 'Client #3', 'Round': 35, 'Results_raw': {'train_loss': 17.83459, 'val_loss': 17.867831, 'test_loss': 18.094548}}
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2024-10-14 15:43:05,355 (client:354) INFO: {'Role': 'Client #9', 'Round': 35, 'Results_raw': {'train_loss': 15.267244, 'val_loss': 16.448226, 'test_loss': 14.808152}}
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2024-10-14 15:43:46,556 (client:354) INFO: {'Role': 'Client #2', 'Round': 35, 'Results_raw': {'train_loss': 15.888212, 'val_loss': 16.358989, 'test_loss': 16.264923}}
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2024-10-14 15:44:28,594 (client:354) INFO: {'Role': 'Client #8', 'Round': 35, 'Results_raw': {'train_loss': 14.654551, 'val_loss': 14.825867, 'test_loss': 13.536028}}
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2024-10-14 15:45:10,672 (client:354) INFO: {'Role': 'Client #5', 'Round': 35, 'Results_raw': {'train_loss': 12.128278, 'val_loss': 11.860442, 'test_loss': 12.102214}}
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2024-10-14 15:45:51,688 (client:354) INFO: {'Role': 'Client #4', 'Round': 35, 'Results_raw': {'train_loss': 14.843854, 'val_loss': 13.71217, 'test_loss': 14.005051}}
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2024-10-14 15:46:32,688 (client:354) INFO: {'Role': 'Client #6', 'Round': 35, 'Results_raw': {'train_loss': 12.043794, 'val_loss': 12.680405, 'test_loss': 13.048964}}
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2024-10-14 15:47:13,166 (client:354) INFO: {'Role': 'Client #7', 'Round': 35, 'Results_raw': {'train_loss': 11.480009, 'val_loss': 11.528729, 'test_loss': 10.868419}}
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2024-10-14 15:47:54,111 (client:354) INFO: {'Role': 'Client #10', 'Round': 35, 'Results_raw': {'train_loss': 14.225265, 'val_loss': 14.098514, 'test_loss': 14.551197}}
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2024-10-14 15:48:38,972 (client:354) INFO: {'Role': 'Client #1', 'Round': 35, 'Results_raw': {'train_loss': 20.114258, 'val_loss': 19.47673, 'test_loss': 19.832693}}
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2024-10-14 15:48:38,976 (server:615) INFO: {'Role': 'Server #', 'Round': 34, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.572759), 'test_loss': np.float64(72416.111658), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.229644), 'val_loss': np.float64(74728.345367), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.572759), 'test_loss': np.float64(72416.111658), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.229644), 'val_loss': np.float64(74728.345367), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.716166), 'test_avg_loss_bottom_decile': np.float64(17.42897), 'test_avg_loss_top_decile': np.float64(26.542723), 'test_avg_loss_min': np.float64(17.290959), 'test_avg_loss_max': np.float64(26.542723), 'test_avg_loss_bottom10%': np.float64(17.290959), 'test_avg_loss_top10%': np.float64(26.542723), 'test_avg_loss_cos1': np.float64(0.991397), 'test_avg_loss_entropy': np.float64(2.29408), 'test_loss_std': np.float64(9560.904656), 'test_loss_bottom_decile': np.float64(61349.975769), 'test_loss_top_decile': np.float64(93430.383789), 'test_loss_min': np.float64(60864.177368), 'test_loss_max': np.float64(93430.383789), 'test_loss_bottom10%': np.float64(60864.177368), 'test_loss_top10%': np.float64(93430.383789), 'test_loss_cos1': np.float64(0.991397), 'test_loss_entropy': np.float64(2.29408), 'val_avg_loss_std': np.float64(2.616687), 'val_avg_loss_bottom_decile': np.float64(18.11541), 'val_avg_loss_top_decile': np.float64(26.808318), 'val_avg_loss_min': np.float64(18.113298), 'val_avg_loss_max': np.float64(26.808318), 'val_avg_loss_bottom10%': np.float64(18.113298), 'val_avg_loss_top10%': np.float64(26.808318), 'val_avg_loss_cos1': np.float64(0.992489), 'val_avg_loss_entropy': np.float64(2.295133), 'val_loss_std': np.float64(9210.739619), 'val_loss_bottom_decile': np.float64(63766.24408), 'val_loss_top_decile': np.float64(94365.280884), 'val_loss_min': np.float64(63758.808228), 'val_loss_max': np.float64(94365.280884), 'val_loss_bottom10%': np.float64(63758.808228), 'val_loss_top10%': np.float64(94365.280884), 'val_loss_cos1': np.float64(0.992489), 'val_loss_entropy': np.float64(2.295133)}}
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2024-10-14 15:48:39,018 (server:353) INFO: Server: Starting evaluation at the end of round 35.
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2024-10-14 15:48:39,019 (server:359) INFO: ----------- Starting a new training round (Round #36) -------------
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2024-10-14 15:50:28,965 (client:354) INFO: {'Role': 'Client #9', 'Round': 36, 'Results_raw': {'train_loss': 15.226683, 'val_loss': 16.238561, 'test_loss': 14.729778}}
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2024-10-14 15:51:09,205 (client:354) INFO: {'Role': 'Client #6', 'Round': 36, 'Results_raw': {'train_loss': 12.075957, 'val_loss': 12.729638, 'test_loss': 13.00048}}
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2024-10-14 15:51:50,535 (client:354) INFO: {'Role': 'Client #8', 'Round': 36, 'Results_raw': {'train_loss': 14.607375, 'val_loss': 15.281768, 'test_loss': 13.922038}}
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2024-10-14 15:52:32,445 (client:354) INFO: {'Role': 'Client #5', 'Round': 36, 'Results_raw': {'train_loss': 12.062122, 'val_loss': 11.610393, 'test_loss': 11.713726}}
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2024-10-14 15:53:15,545 (client:354) INFO: {'Role': 'Client #7', 'Round': 36, 'Results_raw': {'train_loss': 11.457226, 'val_loss': 11.525295, 'test_loss': 10.888657}}
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2024-10-14 15:53:58,340 (client:354) INFO: {'Role': 'Client #4', 'Round': 36, 'Results_raw': {'train_loss': 14.889981, 'val_loss': 14.065459, 'test_loss': 14.394308}}
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2024-10-14 15:54:40,084 (client:354) INFO: {'Role': 'Client #3', 'Round': 36, 'Results_raw': {'train_loss': 17.811145, 'val_loss': 17.693898, 'test_loss': 17.806026}}
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2024-10-14 15:55:21,996 (client:354) INFO: {'Role': 'Client #2', 'Round': 36, 'Results_raw': {'train_loss': 15.781838, 'val_loss': 16.372887, 'test_loss': 16.180792}}
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2024-10-14 15:56:03,668 (client:354) INFO: {'Role': 'Client #10', 'Round': 36, 'Results_raw': {'train_loss': 14.129327, 'val_loss': 14.101388, 'test_loss': 14.611416}}
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2024-10-14 15:56:45,247 (client:354) INFO: {'Role': 'Client #1', 'Round': 36, 'Results_raw': {'train_loss': 20.033267, 'val_loss': 19.398321, 'test_loss': 19.753553}}
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2024-10-14 15:56:45,250 (server:615) INFO: {'Role': 'Server #', 'Round': 35, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.48567), 'test_loss': np.float64(72109.558698), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.133159), 'val_loss': np.float64(74388.720465), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.48567), 'test_loss': np.float64(72109.558698), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.133159), 'val_loss': np.float64(74388.720465), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.711263), 'test_avg_loss_bottom_decile': np.float64(17.41137), 'test_avg_loss_top_decile': np.float64(26.511932), 'test_avg_loss_min': np.float64(17.284256), 'test_avg_loss_max': np.float64(26.511932), 'test_avg_loss_bottom10%': np.float64(17.284256), 'test_avg_loss_top10%': np.float64(26.511932), 'test_avg_loss_cos1': np.float64(0.991355), 'test_avg_loss_entropy': np.float64(2.294059), 'test_loss_std': np.float64(9543.646315), 'test_loss_bottom_decile': np.float64(61288.02301), 'test_loss_top_decile': np.float64(93321.999451), 'test_loss_min': np.float64(60840.580566), 'test_loss_max': np.float64(93321.999451), 'test_loss_bottom10%': np.float64(60840.580566), 'test_loss_top10%': np.float64(93321.999451), 'test_loss_cos1': np.float64(0.991355), 'test_loss_entropy': np.float64(2.294059), 'val_avg_loss_std': np.float64(2.611596), 'val_avg_loss_bottom_decile': np.float64(18.101482), 'val_avg_loss_top_decile': np.float64(26.765554), 'val_avg_loss_min': np.float64(18.075736), 'val_avg_loss_max': np.float64(26.765554), 'val_avg_loss_bottom10%': np.float64(18.075736), 'val_avg_loss_top10%': np.float64(26.765554), 'val_avg_loss_cos1': np.float64(0.992451), 'val_avg_loss_entropy': np.float64(2.295109), 'val_loss_std': np.float64(9192.818596), 'val_loss_bottom_decile': np.float64(63717.215515), 'val_loss_top_decile': np.float64(94214.749268), 'val_loss_min': np.float64(63626.59137), 'val_loss_max': np.float64(94214.749268), 'val_loss_bottom10%': np.float64(63626.59137), 'val_loss_top10%': np.float64(94214.749268), 'val_loss_cos1': np.float64(0.992451), 'val_loss_entropy': np.float64(2.295109)}}
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2024-10-14 15:56:45,281 (server:353) INFO: Server: Starting evaluation at the end of round 36.
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2024-10-14 15:56:45,282 (server:359) INFO: ----------- Starting a new training round (Round #37) -------------
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2024-10-14 15:58:39,287 (client:354) INFO: {'Role': 'Client #9', 'Round': 37, 'Results_raw': {'train_loss': 15.202805, 'val_loss': 16.189368, 'test_loss': 14.76851}}
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2024-10-14 15:59:20,239 (client:354) INFO: {'Role': 'Client #8', 'Round': 37, 'Results_raw': {'train_loss': 14.623294, 'val_loss': 15.110193, 'test_loss': 13.748307}}
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2024-10-14 16:00:02,000 (client:354) INFO: {'Role': 'Client #1', 'Round': 37, 'Results_raw': {'train_loss': 20.021266, 'val_loss': 19.492806, 'test_loss': 19.799172}}
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2024-10-14 16:00:43,358 (client:354) INFO: {'Role': 'Client #2', 'Round': 37, 'Results_raw': {'train_loss': 15.80117, 'val_loss': 16.528127, 'test_loss': 16.341973}}
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2024-10-14 16:01:28,876 (client:354) INFO: {'Role': 'Client #4', 'Round': 37, 'Results_raw': {'train_loss': 14.894002, 'val_loss': 13.610818, 'test_loss': 13.778793}}
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2024-10-14 16:02:12,961 (client:354) INFO: {'Role': 'Client #5', 'Round': 37, 'Results_raw': {'train_loss': 12.02148, 'val_loss': 11.884745, 'test_loss': 11.949639}}
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2024-10-14 16:02:55,432 (client:354) INFO: {'Role': 'Client #3', 'Round': 37, 'Results_raw': {'train_loss': 17.753758, 'val_loss': 17.868929, 'test_loss': 18.000279}}
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2024-10-14 16:03:37,670 (client:354) INFO: {'Role': 'Client #6', 'Round': 37, 'Results_raw': {'train_loss': 12.051731, 'val_loss': 12.693856, 'test_loss': 13.12969}}
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2024-10-14 16:04:18,949 (client:354) INFO: {'Role': 'Client #10', 'Round': 37, 'Results_raw': {'train_loss': 14.194147, 'val_loss': 14.067605, 'test_loss': 14.54027}}
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2024-10-14 16:05:00,638 (client:354) INFO: {'Role': 'Client #7', 'Round': 37, 'Results_raw': {'train_loss': 11.456304, 'val_loss': 11.574178, 'test_loss': 10.8996}}
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2024-10-14 16:05:00,642 (server:615) INFO: {'Role': 'Server #', 'Round': 36, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.457661), 'test_loss': np.float64(72010.966608), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.11584), 'val_loss': np.float64(74327.757849), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.457661), 'test_loss': np.float64(72010.966608), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.11584), 'val_loss': np.float64(74327.757849), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.739205), 'test_avg_loss_bottom_decile': np.float64(17.390431), 'test_avg_loss_top_decile': np.float64(26.486763), 'test_avg_loss_min': np.float64(17.143478), 'test_avg_loss_max': np.float64(26.486763), 'test_avg_loss_bottom10%': np.float64(17.143478), 'test_avg_loss_top10%': np.float64(26.486763), 'test_avg_loss_cos1': np.float64(0.991155), 'test_avg_loss_entropy': np.float64(2.293848), 'test_loss_std': np.float64(9642.000436), 'test_loss_bottom_decile': np.float64(61214.318787), 'test_loss_top_decile': np.float64(93233.406128), 'test_loss_min': np.float64(60345.043091), 'test_loss_max': np.float64(93233.406128), 'test_loss_bottom10%': np.float64(60345.043091), 'test_loss_top10%': np.float64(93233.406128), 'test_loss_cos1': np.float64(0.991155), 'test_loss_entropy': np.float64(2.293848), 'val_avg_loss_std': np.float64(2.648311), 'val_avg_loss_bottom_decile': np.float64(18.049515), 'val_avg_loss_top_decile': np.float64(26.762634), 'val_avg_loss_min': np.float64(17.965866), 'val_avg_loss_max': np.float64(26.762634), 'val_avg_loss_bottom10%': np.float64(17.965866), 'val_avg_loss_top10%': np.float64(26.762634), 'val_avg_loss_cos1': np.float64(0.992227), 'val_avg_loss_entropy': np.float64(2.294876), 'val_loss_std': np.float64(9322.053869), 'val_loss_bottom_decile': np.float64(63534.293823), 'val_loss_top_decile': np.float64(94204.472168), 'val_loss_min': np.float64(63239.849487), 'val_loss_max': np.float64(94204.472168), 'val_loss_bottom10%': np.float64(63239.849487), 'val_loss_top10%': np.float64(94204.472168), 'val_loss_cos1': np.float64(0.992227), 'val_loss_entropy': np.float64(2.294876)}}
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2024-10-14 16:05:00,681 (server:353) INFO: Server: Starting evaluation at the end of round 37.
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2024-10-14 16:05:00,681 (server:359) INFO: ----------- Starting a new training round (Round #38) -------------
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2024-10-14 16:06:53,124 (client:354) INFO: {'Role': 'Client #4', 'Round': 38, 'Results_raw': {'train_loss': 14.789876, 'val_loss': 13.506244, 'test_loss': 13.883807}}
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2024-10-14 16:07:33,984 (client:354) INFO: {'Role': 'Client #2', 'Round': 38, 'Results_raw': {'train_loss': 15.794473, 'val_loss': 16.466296, 'test_loss': 16.198745}}
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2024-10-14 16:08:15,195 (client:354) INFO: {'Role': 'Client #9', 'Round': 38, 'Results_raw': {'train_loss': 15.222932, 'val_loss': 16.255745, 'test_loss': 14.918858}}
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2024-10-14 16:08:58,056 (client:354) INFO: {'Role': 'Client #6', 'Round': 38, 'Results_raw': {'train_loss': 12.029892, 'val_loss': 12.716145, 'test_loss': 13.143743}}
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2024-10-14 16:09:40,643 (client:354) INFO: {'Role': 'Client #5', 'Round': 38, 'Results_raw': {'train_loss': 12.024702, 'val_loss': 11.737682, 'test_loss': 11.542722}}
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2024-10-14 16:10:24,732 (client:354) INFO: {'Role': 'Client #7', 'Round': 38, 'Results_raw': {'train_loss': 11.455522, 'val_loss': 11.596772, 'test_loss': 10.925637}}
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2024-10-14 16:11:07,399 (client:354) INFO: {'Role': 'Client #10', 'Round': 38, 'Results_raw': {'train_loss': 14.206355, 'val_loss': 14.013643, 'test_loss': 14.535551}}
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2024-10-14 16:11:48,641 (client:354) INFO: {'Role': 'Client #3', 'Round': 38, 'Results_raw': {'train_loss': 17.784937, 'val_loss': 17.670127, 'test_loss': 17.901068}}
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2024-10-14 16:12:29,880 (client:354) INFO: {'Role': 'Client #1', 'Round': 38, 'Results_raw': {'train_loss': 19.976889, 'val_loss': 19.882801, 'test_loss': 20.18967}}
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2024-10-14 16:13:09,634 (client:354) INFO: {'Role': 'Client #8', 'Round': 38, 'Results_raw': {'train_loss': 14.529875, 'val_loss': 14.968352, 'test_loss': 13.651522}}
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2024-10-14 16:13:09,638 (server:615) INFO: {'Role': 'Server #', 'Round': 37, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.434492), 'test_loss': np.float64(71929.410132), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.085719), 'val_loss': np.float64(74221.732611), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.434492), 'test_loss': np.float64(71929.410132), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.085719), 'val_loss': np.float64(74221.732611), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.723851), 'test_avg_loss_bottom_decile': np.float64(17.315523), 'test_avg_loss_top_decile': np.float64(26.449365), 'test_avg_loss_min': np.float64(17.158673), 'test_avg_loss_max': np.float64(26.449365), 'test_avg_loss_bottom10%': np.float64(17.158673), 'test_avg_loss_top10%': np.float64(26.449365), 'test_avg_loss_cos1': np.float64(0.991233), 'test_avg_loss_entropy': np.float64(2.293928), 'test_loss_std': np.float64(9587.955541), 'test_loss_bottom_decile': np.float64(60950.64032), 'test_loss_top_decile': np.float64(93101.764832), 'test_loss_min': np.float64(60398.528931), 'test_loss_max': np.float64(93101.764832), 'test_loss_bottom10%': np.float64(60398.528931), 'test_loss_top10%': np.float64(93101.764832), 'test_loss_cos1': np.float64(0.991233), 'test_loss_entropy': np.float64(2.293928), 'val_avg_loss_std': np.float64(2.627395), 'val_avg_loss_bottom_decile': np.float64(17.987601), 'val_avg_loss_top_decile': np.float64(26.694634), 'val_avg_loss_min': np.float64(17.968793), 'val_avg_loss_max': np.float64(26.694634), 'val_avg_loss_bottom10%': np.float64(17.968793), 'val_avg_loss_top10%': np.float64(26.694634), 'val_avg_loss_cos1': np.float64(0.992326), 'val_avg_loss_entropy': np.float64(2.294976), 'val_loss_std': np.float64(9248.430629), 'val_loss_bottom_decile': np.float64(63316.356995), 'val_loss_top_decile': np.float64(93965.111633), 'val_loss_min': np.float64(63250.152954), 'val_loss_max': np.float64(93965.111633), 'val_loss_bottom10%': np.float64(63250.152954), 'val_loss_top10%': np.float64(93965.111633), 'val_loss_cos1': np.float64(0.992326), 'val_loss_entropy': np.float64(2.294976)}}
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2024-10-14 16:13:09,676 (server:353) INFO: Server: Starting evaluation at the end of round 38.
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2024-10-14 16:13:09,677 (server:359) INFO: ----------- Starting a new training round (Round #39) -------------
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2024-10-14 16:15:02,756 (client:354) INFO: {'Role': 'Client #5', 'Round': 39, 'Results_raw': {'train_loss': 12.022779, 'val_loss': 11.741606, 'test_loss': 11.776828}}
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2024-10-14 16:15:44,827 (client:354) INFO: {'Role': 'Client #10', 'Round': 39, 'Results_raw': {'train_loss': 14.183757, 'val_loss': 13.873915, 'test_loss': 14.388274}}
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2024-10-14 16:16:26,751 (client:354) INFO: {'Role': 'Client #7', 'Round': 39, 'Results_raw': {'train_loss': 11.411209, 'val_loss': 11.419239, 'test_loss': 10.74336}}
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2024-10-14 16:17:08,026 (client:354) INFO: {'Role': 'Client #3', 'Round': 39, 'Results_raw': {'train_loss': 17.744165, 'val_loss': 17.605887, 'test_loss': 17.795696}}
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2024-10-14 16:17:50,931 (client:354) INFO: {'Role': 'Client #8', 'Round': 39, 'Results_raw': {'train_loss': 14.533522, 'val_loss': 14.536208, 'test_loss': 13.459497}}
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2024-10-14 16:18:32,845 (client:354) INFO: {'Role': 'Client #4', 'Round': 39, 'Results_raw': {'train_loss': 14.78934, 'val_loss': 13.605429, 'test_loss': 14.035626}}
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2024-10-14 16:19:14,858 (client:354) INFO: {'Role': 'Client #2', 'Round': 39, 'Results_raw': {'train_loss': 15.776703, 'val_loss': 16.692593, 'test_loss': 16.530799}}
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2024-10-14 16:19:55,349 (client:354) INFO: {'Role': 'Client #6', 'Round': 39, 'Results_raw': {'train_loss': 11.983198, 'val_loss': 12.643561, 'test_loss': 12.896809}}
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2024-10-14 16:20:36,593 (client:354) INFO: {'Role': 'Client #1', 'Round': 39, 'Results_raw': {'train_loss': 19.99662, 'val_loss': 19.441838, 'test_loss': 19.777563}}
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2024-10-14 16:21:18,449 (client:354) INFO: {'Role': 'Client #9', 'Round': 39, 'Results_raw': {'train_loss': 15.188875, 'val_loss': 16.204413, 'test_loss': 14.751564}}
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2024-10-14 16:21:18,454 (server:615) INFO: {'Role': 'Server #', 'Round': 38, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.290175), 'test_loss': np.float64(71421.414343), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.93187), 'val_loss': np.float64(73680.184131), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.290175), 'test_loss': np.float64(71421.414343), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.93187), 'val_loss': np.float64(73680.184131), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.722018), 'test_avg_loss_bottom_decile': np.float64(17.252517), 'test_avg_loss_top_decile': np.float64(26.401333), 'test_avg_loss_min': np.float64(17.036169), 'test_avg_loss_max': np.float64(26.401333), 'test_avg_loss_bottom10%': np.float64(17.036169), 'test_avg_loss_top10%': np.float64(26.401333), 'test_avg_loss_cos1': np.float64(0.991121), 'test_avg_loss_entropy': np.float64(2.293848), 'test_loss_std': np.float64(9581.502459), 'test_loss_bottom_decile': np.float64(60728.858093), 'test_loss_top_decile': np.float64(92932.693604), 'test_loss_min': np.float64(59967.316101), 'test_loss_max': np.float64(92932.693604), 'test_loss_bottom10%': np.float64(59967.316101), 'test_loss_top10%': np.float64(92932.693604), 'test_loss_cos1': np.float64(0.991121), 'test_loss_entropy': np.float64(2.293848), 'val_avg_loss_std': np.float64(2.61314), 'val_avg_loss_bottom_decile': np.float64(17.921191), 'val_avg_loss_top_decile': np.float64(26.652676), 'val_avg_loss_min': np.float64(17.85962), 'val_avg_loss_max': np.float64(26.652676), 'val_avg_loss_bottom10%': np.float64(17.85962), 'val_avg_loss_top10%': np.float64(26.652676), 'val_avg_loss_cos1': np.float64(0.992297), 'val_avg_loss_entropy': np.float64(2.294975), 'val_loss_std': np.float64(9198.252384), 'val_loss_bottom_decile': np.float64(63082.593933), 'val_loss_top_decile': np.float64(93817.41803), 'val_loss_min': np.float64(62865.863281), 'val_loss_max': np.float64(93817.41803), 'val_loss_bottom10%': np.float64(62865.863281), 'val_loss_top10%': np.float64(93817.41803), 'val_loss_cos1': np.float64(0.992297), 'val_loss_entropy': np.float64(2.294975)}}
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2024-10-14 16:21:18,500 (server:353) INFO: Server: Starting evaluation at the end of round 39.
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2024-10-14 16:21:18,501 (server:359) INFO: ----------- Starting a new training round (Round #40) -------------
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2024-10-14 16:23:05,556 (client:354) INFO: {'Role': 'Client #3', 'Round': 40, 'Results_raw': {'train_loss': 17.698068, 'val_loss': 17.610105, 'test_loss': 17.790055}}
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2024-10-14 16:23:46,263 (client:354) INFO: {'Role': 'Client #5', 'Round': 40, 'Results_raw': {'train_loss': 12.011065, 'val_loss': 11.837474, 'test_loss': 11.885187}}
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2024-10-14 16:24:26,493 (client:354) INFO: {'Role': 'Client #4', 'Round': 40, 'Results_raw': {'train_loss': 14.788324, 'val_loss': 13.598596, 'test_loss': 14.009654}}
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2024-10-14 16:25:08,144 (client:354) INFO: {'Role': 'Client #6', 'Round': 40, 'Results_raw': {'train_loss': 12.029921, 'val_loss': 12.652748, 'test_loss': 13.102657}}
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2024-10-14 16:25:48,827 (client:354) INFO: {'Role': 'Client #7', 'Round': 40, 'Results_raw': {'train_loss': 11.39608, 'val_loss': 11.494157, 'test_loss': 10.839249}}
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2024-10-14 16:26:32,771 (client:354) INFO: {'Role': 'Client #2', 'Round': 40, 'Results_raw': {'train_loss': 15.725912, 'val_loss': 16.304899, 'test_loss': 16.198303}}
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2024-10-14 16:27:19,719 (client:354) INFO: {'Role': 'Client #9', 'Round': 40, 'Results_raw': {'train_loss': 15.21025, 'val_loss': 15.956074, 'test_loss': 14.567311}}
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2024-10-14 16:27:59,437 (client:354) INFO: {'Role': 'Client #1', 'Round': 40, 'Results_raw': {'train_loss': 19.909893, 'val_loss': 19.396195, 'test_loss': 19.810175}}
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2024-10-14 16:28:42,901 (client:354) INFO: {'Role': 'Client #8', 'Round': 40, 'Results_raw': {'train_loss': 14.504004, 'val_loss': 14.675055, 'test_loss': 13.554956}}
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2024-10-14 16:29:26,361 (client:354) INFO: {'Role': 'Client #10', 'Round': 40, 'Results_raw': {'train_loss': 14.09403, 'val_loss': 13.957347, 'test_loss': 14.499539}}
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2024-10-14 16:29:26,367 (server:615) INFO: {'Role': 'Server #', 'Round': 39, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.313301), 'test_loss': np.float64(71502.821002), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.95383), 'val_loss': np.float64(73757.48183), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.313301), 'test_loss': np.float64(71502.821002), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.95383), 'val_loss': np.float64(73757.48183), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.698099), 'test_avg_loss_bottom_decile': np.float64(17.297147), 'test_avg_loss_top_decile': np.float64(26.326001), 'test_avg_loss_min': np.float64(17.030887), 'test_avg_loss_max': np.float64(26.326001), 'test_avg_loss_bottom10%': np.float64(17.030887), 'test_avg_loss_top10%': np.float64(26.326001), 'test_avg_loss_cos1': np.float64(0.991294), 'test_avg_loss_entropy': np.float64(2.294007), 'test_loss_std': np.float64(9497.306855), 'test_loss_bottom_decile': np.float64(60885.956543), 'test_loss_top_decile': np.float64(92667.523743), 'test_loss_min': np.float64(59948.721924), 'test_loss_max': np.float64(92667.523743), 'test_loss_bottom10%': np.float64(59948.721924), 'test_loss_top10%': np.float64(92667.523743), 'test_loss_cos1': np.float64(0.991294), 'test_loss_entropy': np.float64(2.294007), 'val_avg_loss_std': np.float64(2.588781), 'val_avg_loss_bottom_decile': np.float64(17.971976), 'val_avg_loss_top_decile': np.float64(26.566042), 'val_avg_loss_min': np.float64(17.862014), 'val_avg_loss_max': np.float64(26.566042), 'val_avg_loss_bottom10%': np.float64(17.862014), 'val_avg_loss_top10%': np.float64(26.566042), 'val_avg_loss_cos1': np.float64(0.992454), 'val_avg_loss_entropy': np.float64(2.29512), 'val_loss_std': np.float64(9112.509248), 'val_loss_bottom_decile': np.float64(63261.355103), 'val_loss_top_decile': np.float64(93512.467346), 'val_loss_min': np.float64(62874.288574), 'val_loss_max': np.float64(93512.467346), 'val_loss_bottom10%': np.float64(62874.288574), 'val_loss_top10%': np.float64(93512.467346), 'val_loss_cos1': np.float64(0.992454), 'val_loss_entropy': np.float64(2.29512)}}
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2024-10-14 16:29:26,414 (server:353) INFO: Server: Starting evaluation at the end of round 40.
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2024-10-14 16:29:26,414 (server:359) INFO: ----------- Starting a new training round (Round #41) -------------
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2024-10-14 16:31:16,044 (client:354) INFO: {'Role': 'Client #6', 'Round': 41, 'Results_raw': {'train_loss': 11.990115, 'val_loss': 12.625547, 'test_loss': 13.070661}}
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2024-10-14 16:31:59,335 (client:354) INFO: {'Role': 'Client #4', 'Round': 41, 'Results_raw': {'train_loss': 14.770043, 'val_loss': 13.632001, 'test_loss': 13.994659}}
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2024-10-14 16:32:41,523 (client:354) INFO: {'Role': 'Client #9', 'Round': 41, 'Results_raw': {'train_loss': 15.130643, 'val_loss': 16.447221, 'test_loss': 14.781488}}
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2024-10-14 16:33:22,708 (client:354) INFO: {'Role': 'Client #8', 'Round': 41, 'Results_raw': {'train_loss': 14.535091, 'val_loss': 14.920145, 'test_loss': 13.436957}}
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2024-10-14 16:34:04,210 (client:354) INFO: {'Role': 'Client #7', 'Round': 41, 'Results_raw': {'train_loss': 11.369689, 'val_loss': 11.538216, 'test_loss': 10.931596}}
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2024-10-14 16:34:46,236 (client:354) INFO: {'Role': 'Client #1', 'Round': 41, 'Results_raw': {'train_loss': 19.979446, 'val_loss': 19.537189, 'test_loss': 19.869504}}
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2024-10-14 16:35:30,205 (client:354) INFO: {'Role': 'Client #10', 'Round': 41, 'Results_raw': {'train_loss': 14.107035, 'val_loss': 14.191772, 'test_loss': 14.660095}}
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2024-10-14 16:36:12,162 (client:354) INFO: {'Role': 'Client #3', 'Round': 41, 'Results_raw': {'train_loss': 17.712078, 'val_loss': 17.616605, 'test_loss': 17.731477}}
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2024-10-14 16:36:53,605 (client:354) INFO: {'Role': 'Client #5', 'Round': 41, 'Results_raw': {'train_loss': 11.946924, 'val_loss': 11.644527, 'test_loss': 11.734551}}
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2024-10-14 16:37:37,416 (client:354) INFO: {'Role': 'Client #2', 'Round': 41, 'Results_raw': {'train_loss': 15.731637, 'val_loss': 16.331783, 'test_loss': 16.244072}}
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2024-10-14 16:37:37,420 (server:615) INFO: {'Role': 'Server #', 'Round': 40, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.496357), 'test_loss': np.float64(72147.176038), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.135185), 'val_loss': np.float64(74395.852252), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.496357), 'test_loss': np.float64(72147.176038), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.135185), 'val_loss': np.float64(74395.852252), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.760691), 'test_avg_loss_bottom_decile': np.float64(17.408134), 'test_avg_loss_top_decile': np.float64(26.600343), 'test_avg_loss_min': np.float64(17.125451), 'test_avg_loss_max': np.float64(26.600343), 'test_avg_loss_bottom10%': np.float64(17.125451), 'test_avg_loss_top10%': np.float64(26.600343), 'test_avg_loss_cos1': np.float64(0.991051), 'test_avg_loss_entropy': np.float64(2.293748), 'test_loss_std': np.float64(9717.631187), 'test_loss_bottom_decile': np.float64(61276.633423), 'test_loss_top_decile': np.float64(93633.205627), 'test_loss_min': np.float64(60281.587708), 'test_loss_max': np.float64(93633.205627), 'test_loss_bottom10%': np.float64(60281.587708), 'test_loss_top10%': np.float64(93633.205627), 'test_loss_cos1': np.float64(0.991051), 'test_loss_entropy': np.float64(2.293748), 'val_avg_loss_std': np.float64(2.65916), 'val_avg_loss_bottom_decile': np.float64(18.090028), 'val_avg_loss_top_decile': np.float64(26.837462), 'val_avg_loss_min': np.float64(17.935015), 'val_avg_loss_max': np.float64(26.837462), 'val_avg_loss_bottom10%': np.float64(17.935015), 'val_avg_loss_top10%': np.float64(26.837462), 'val_avg_loss_cos1': np.float64(0.992178), 'val_avg_loss_entropy': np.float64(2.294832), 'val_loss_std': np.float64(9360.243409), 'val_loss_bottom_decile': np.float64(63676.89856), 'val_loss_top_decile': np.float64(94467.867126), 'val_loss_min': np.float64(63131.253235), 'val_loss_max': np.float64(94467.867126), 'val_loss_bottom10%': np.float64(63131.253235), 'val_loss_top10%': np.float64(94467.867126), 'val_loss_cos1': np.float64(0.992178), 'val_loss_entropy': np.float64(2.294832)}}
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2024-10-14 16:37:37,458 (server:353) INFO: Server: Starting evaluation at the end of round 41.
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2024-10-14 16:37:37,459 (server:359) INFO: ----------- Starting a new training round (Round #42) -------------
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2024-10-14 16:39:37,021 (client:354) INFO: {'Role': 'Client #3', 'Round': 42, 'Results_raw': {'train_loss': 17.696482, 'val_loss': 17.859808, 'test_loss': 18.029424}}
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2024-10-14 16:40:21,491 (client:354) INFO: {'Role': 'Client #6', 'Round': 42, 'Results_raw': {'train_loss': 11.966611, 'val_loss': 12.673165, 'test_loss': 13.164605}}
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2024-10-14 16:41:02,281 (client:354) INFO: {'Role': 'Client #10', 'Round': 42, 'Results_raw': {'train_loss': 14.1108, 'val_loss': 14.150342, 'test_loss': 14.720246}}
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2024-10-14 16:41:44,342 (client:354) INFO: {'Role': 'Client #8', 'Round': 42, 'Results_raw': {'train_loss': 14.626136, 'val_loss': 15.118849, 'test_loss': 13.549429}}
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2024-10-14 16:42:25,940 (client:354) INFO: {'Role': 'Client #7', 'Round': 42, 'Results_raw': {'train_loss': 11.339965, 'val_loss': 11.516656, 'test_loss': 10.805067}}
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2024-10-14 16:43:08,214 (client:354) INFO: {'Role': 'Client #4', 'Round': 42, 'Results_raw': {'train_loss': 14.770655, 'val_loss': 13.83665, 'test_loss': 14.299493}}
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2024-10-14 16:43:50,178 (client:354) INFO: {'Role': 'Client #5', 'Round': 42, 'Results_raw': {'train_loss': 11.948542, 'val_loss': 11.76573, 'test_loss': 11.931152}}
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2024-10-14 16:44:32,732 (client:354) INFO: {'Role': 'Client #2', 'Round': 42, 'Results_raw': {'train_loss': 15.691433, 'val_loss': 16.498753, 'test_loss': 16.387807}}
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2024-10-14 16:45:14,690 (client:354) INFO: {'Role': 'Client #9', 'Round': 42, 'Results_raw': {'train_loss': 15.093328, 'val_loss': 16.356711, 'test_loss': 14.839095}}
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2024-10-14 16:45:57,302 (client:354) INFO: {'Role': 'Client #1', 'Round': 42, 'Results_raw': {'train_loss': 20.021024, 'val_loss': 19.688136, 'test_loss': 20.094702}}
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2024-10-14 16:45:57,308 (server:615) INFO: {'Role': 'Server #', 'Round': 41, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.518182), 'test_loss': np.float64(72224.000739), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.15208), 'val_loss': np.float64(74455.321552), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.518182), 'test_loss': np.float64(72224.000739), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.15208), 'val_loss': np.float64(74455.321552), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.710296), 'test_avg_loss_bottom_decile': np.float64(17.38187), 'test_avg_loss_top_decile': np.float64(26.548169), 'test_avg_loss_min': np.float64(17.294363), 'test_avg_loss_max': np.float64(26.548169), 'test_avg_loss_bottom10%': np.float64(17.294363), 'test_avg_loss_top10%': np.float64(26.548169), 'test_avg_loss_cos1': np.float64(0.991388), 'test_avg_loss_entropy': np.float64(2.294095), 'test_loss_std': np.float64(9540.241747), 'test_loss_bottom_decile': np.float64(61184.18219), 'test_loss_top_decile': np.float64(93449.556213), 'test_loss_min': np.float64(60876.156128), 'test_loss_max': np.float64(93449.556213), 'test_loss_bottom10%': np.float64(60876.156128), 'test_loss_top10%': np.float64(93449.556213), 'test_loss_cos1': np.float64(0.991388), 'test_loss_entropy': np.float64(2.294095), 'val_avg_loss_std': np.float64(2.605783), 'val_avg_loss_bottom_decile': np.float64(18.171825), 'val_avg_loss_top_decile': np.float64(26.759619), 'val_avg_loss_min': np.float64(17.973632), 'val_avg_loss_max': np.float64(26.759619), 'val_avg_loss_bottom10%': np.float64(17.973632), 'val_avg_loss_top10%': np.float64(26.759619), 'val_avg_loss_cos1': np.float64(0.992497), 'val_avg_loss_entropy': np.float64(2.295154), 'val_loss_std': np.float64(9172.35629), 'val_loss_bottom_decile': np.float64(63964.822266), 'val_loss_top_decile': np.float64(94193.857178), 'val_loss_min': np.float64(63267.183105), 'val_loss_max': np.float64(94193.857178), 'val_loss_bottom10%': np.float64(63267.183105), 'val_loss_top10%': np.float64(94193.857178), 'val_loss_cos1': np.float64(0.992497), 'val_loss_entropy': np.float64(2.295154)}}
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2024-10-14 16:45:57,364 (server:353) INFO: Server: Starting evaluation at the end of round 42.
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2024-10-14 16:45:57,365 (server:359) INFO: ----------- Starting a new training round (Round #43) -------------
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2024-10-14 16:47:50,246 (client:354) INFO: {'Role': 'Client #9', 'Round': 43, 'Results_raw': {'train_loss': 15.127007, 'val_loss': 16.20828, 'test_loss': 14.7377}}
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2024-10-14 16:48:30,455 (client:354) INFO: {'Role': 'Client #3', 'Round': 43, 'Results_raw': {'train_loss': 17.682727, 'val_loss': 17.695633, 'test_loss': 17.889005}}
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2024-10-14 16:49:12,604 (client:354) INFO: {'Role': 'Client #2', 'Round': 43, 'Results_raw': {'train_loss': 15.697965, 'val_loss': 16.385576, 'test_loss': 16.259639}}
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2024-10-14 16:49:54,664 (client:354) INFO: {'Role': 'Client #1', 'Round': 43, 'Results_raw': {'train_loss': 19.895185, 'val_loss': 19.586587, 'test_loss': 19.936495}}
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2024-10-14 16:50:37,241 (client:354) INFO: {'Role': 'Client #10', 'Round': 43, 'Results_raw': {'train_loss': 14.006549, 'val_loss': 14.047521, 'test_loss': 14.430047}}
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2024-10-14 16:51:17,652 (client:354) INFO: {'Role': 'Client #6', 'Round': 43, 'Results_raw': {'train_loss': 11.943463, 'val_loss': 12.605039, 'test_loss': 13.032348}}
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2024-10-14 16:52:01,852 (client:354) INFO: {'Role': 'Client #8', 'Round': 43, 'Results_raw': {'train_loss': 14.413259, 'val_loss': 14.990444, 'test_loss': 13.549935}}
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2024-10-14 16:52:45,428 (client:354) INFO: {'Role': 'Client #7', 'Round': 43, 'Results_raw': {'train_loss': 11.375034, 'val_loss': 11.525865, 'test_loss': 10.843175}}
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2024-10-14 16:53:28,533 (client:354) INFO: {'Role': 'Client #4', 'Round': 43, 'Results_raw': {'train_loss': 14.733985, 'val_loss': 13.595137, 'test_loss': 14.02239}}
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2024-10-14 16:54:08,705 (client:354) INFO: {'Role': 'Client #5', 'Round': 43, 'Results_raw': {'train_loss': 11.915144, 'val_loss': 11.821689, 'test_loss': 11.901561}}
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2024-10-14 16:54:08,710 (server:615) INFO: {'Role': 'Server #', 'Round': 42, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.316426), 'test_loss': np.float64(71513.819275), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.940134), 'val_loss': np.float64(73709.272778), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.316426), 'test_loss': np.float64(71513.819275), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.940134), 'val_loss': np.float64(73709.272778), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.703103), 'test_avg_loss_bottom_decile': np.float64(17.16349), 'test_avg_loss_top_decile': np.float64(26.295806), 'test_avg_loss_min': np.float64(17.033348), 'test_avg_loss_max': np.float64(26.295806), 'test_avg_loss_bottom10%': np.float64(17.033348), 'test_avg_loss_top10%': np.float64(26.295806), 'test_avg_loss_cos1': np.float64(0.991265), 'test_avg_loss_entropy': np.float64(2.293962), 'test_loss_std': np.float64(9514.921632), 'test_loss_bottom_decile': np.float64(60415.484619), 'test_loss_top_decile': np.float64(92561.236938), 'test_loss_min': np.float64(59957.384705), 'test_loss_max': np.float64(92561.236938), 'test_loss_bottom10%': np.float64(59957.384705), 'test_loss_top10%': np.float64(92561.236938), 'test_loss_cos1': np.float64(0.991265), 'test_loss_entropy': np.float64(2.293962), 'val_avg_loss_std': np.float64(2.592149), 'val_avg_loss_bottom_decile': np.float64(17.835304), 'val_avg_loss_top_decile': np.float64(26.493495), 'val_avg_loss_min': np.float64(17.823052), 'val_avg_loss_max': np.float64(26.493495), 'val_avg_loss_bottom10%': np.float64(17.823052), 'val_avg_loss_top10%': np.float64(26.493495), 'val_avg_loss_cos1': np.float64(0.992425), 'val_avg_loss_entropy': np.float64(2.295075), 'val_loss_std': np.float64(9124.363641), 'val_loss_bottom_decile': np.float64(62780.269287), 'val_loss_top_decile': np.float64(93257.103943), 'val_loss_min': np.float64(62737.144043), 'val_loss_max': np.float64(93257.103943), 'val_loss_bottom10%': np.float64(62737.144043), 'val_loss_top10%': np.float64(93257.103943), 'val_loss_cos1': np.float64(0.992425), 'val_loss_entropy': np.float64(2.295075)}}
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2024-10-14 16:54:08,752 (server:353) INFO: Server: Starting evaluation at the end of round 43.
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2024-10-14 16:54:08,752 (server:359) INFO: ----------- Starting a new training round (Round #44) -------------
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2024-10-14 16:56:02,700 (client:354) INFO: {'Role': 'Client #1', 'Round': 44, 'Results_raw': {'train_loss': 19.895289, 'val_loss': 19.35686, 'test_loss': 19.742735}}
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2024-10-14 16:56:46,687 (client:354) INFO: {'Role': 'Client #8', 'Round': 44, 'Results_raw': {'train_loss': 14.433461, 'val_loss': 14.802863, 'test_loss': 13.605501}}
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2024-10-14 16:57:29,730 (client:354) INFO: {'Role': 'Client #4', 'Round': 44, 'Results_raw': {'train_loss': 14.695814, 'val_loss': 13.877215, 'test_loss': 14.328855}}
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2024-10-14 16:58:13,378 (client:354) INFO: {'Role': 'Client #7', 'Round': 44, 'Results_raw': {'train_loss': 11.328261, 'val_loss': 11.529695, 'test_loss': 10.83348}}
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2024-10-14 16:58:55,733 (client:354) INFO: {'Role': 'Client #6', 'Round': 44, 'Results_raw': {'train_loss': 11.926184, 'val_loss': 12.597988, 'test_loss': 13.033176}}
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2024-10-14 16:59:38,004 (client:354) INFO: {'Role': 'Client #5', 'Round': 44, 'Results_raw': {'train_loss': 11.89324, 'val_loss': 11.756371, 'test_loss': 12.186082}}
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2024-10-14 17:00:19,015 (client:354) INFO: {'Role': 'Client #10', 'Round': 44, 'Results_raw': {'train_loss': 14.00694, 'val_loss': 13.905984, 'test_loss': 14.344861}}
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2024-10-14 17:01:01,314 (client:354) INFO: {'Role': 'Client #9', 'Round': 44, 'Results_raw': {'train_loss': 15.126294, 'val_loss': 16.140326, 'test_loss': 14.663226}}
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2024-10-14 17:01:43,206 (client:354) INFO: {'Role': 'Client #2', 'Round': 44, 'Results_raw': {'train_loss': 15.683462, 'val_loss': 16.428931, 'test_loss': 16.276315}}
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2024-10-14 17:02:26,417 (client:354) INFO: {'Role': 'Client #3', 'Round': 44, 'Results_raw': {'train_loss': 17.64338, 'val_loss': 17.656209, 'test_loss': 17.845123}}
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2024-10-14 17:02:26,420 (server:615) INFO: {'Role': 'Server #', 'Round': 43, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.401788), 'test_loss': np.float64(71814.293549), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.03082), 'val_loss': np.float64(74028.485718), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.401788), 'test_loss': np.float64(71814.293549), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(21.03082), 'val_loss': np.float64(74028.485718), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.684869), 'test_avg_loss_bottom_decile': np.float64(17.36902), 'test_avg_loss_top_decile': np.float64(26.395068), 'test_avg_loss_min': np.float64(17.16076), 'test_avg_loss_max': np.float64(26.395068), 'test_avg_loss_bottom10%': np.float64(17.16076), 'test_avg_loss_top10%': np.float64(26.395068), 'test_avg_loss_cos1': np.float64(0.991452), 'test_avg_loss_entropy': np.float64(2.294161), 'test_loss_std': np.float64(9450.73871), 'test_loss_bottom_decile': np.float64(61138.949341), 'test_loss_top_decile': np.float64(92910.639099), 'test_loss_min': np.float64(60405.876282), 'test_loss_max': np.float64(92910.639099), 'test_loss_bottom10%': np.float64(60405.876282), 'test_loss_top10%': np.float64(92910.639099), 'test_loss_cos1': np.float64(0.991452), 'test_loss_entropy': np.float64(2.294161), 'val_avg_loss_std': np.float64(2.575241), 'val_avg_loss_bottom_decile': np.float64(18.189252), 'val_avg_loss_top_decile': np.float64(26.61698), 'val_avg_loss_min': np.float64(17.830704), 'val_avg_loss_max': np.float64(26.61698), 'val_avg_loss_bottom10%': np.float64(17.830704), 'val_avg_loss_top10%': np.float64(26.61698), 'val_avg_loss_cos1': np.float64(0.992586), 'val_avg_loss_entropy': np.float64(2.295249), 'val_loss_std': np.float64(9064.84807), 'val_loss_bottom_decile': np.float64(64026.166809), 'val_loss_top_decile': np.float64(93691.770264), 'val_loss_min': np.float64(62764.078674), 'val_loss_max': np.float64(93691.770264), 'val_loss_bottom10%': np.float64(62764.078674), 'val_loss_top10%': np.float64(93691.770264), 'val_loss_cos1': np.float64(0.992586), 'val_loss_entropy': np.float64(2.295249)}}
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2024-10-14 17:02:26,450 (server:353) INFO: Server: Starting evaluation at the end of round 44.
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2024-10-14 17:02:26,450 (server:359) INFO: ----------- Starting a new training round (Round #45) -------------
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2024-10-14 17:04:14,389 (client:354) INFO: {'Role': 'Client #4', 'Round': 45, 'Results_raw': {'train_loss': 14.66599, 'val_loss': 13.508757, 'test_loss': 13.958392}}
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2024-10-14 17:04:54,689 (client:354) INFO: {'Role': 'Client #7', 'Round': 45, 'Results_raw': {'train_loss': 11.379669, 'val_loss': 11.588187, 'test_loss': 10.87485}}
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2024-10-14 17:05:34,536 (client:354) INFO: {'Role': 'Client #5', 'Round': 45, 'Results_raw': {'train_loss': 11.945617, 'val_loss': 11.801225, 'test_loss': 11.931032}}
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2024-10-14 17:06:17,471 (client:354) INFO: {'Role': 'Client #10', 'Round': 45, 'Results_raw': {'train_loss': 14.058326, 'val_loss': 14.14641, 'test_loss': 14.652543}}
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2024-10-14 17:06:58,300 (client:354) INFO: {'Role': 'Client #9', 'Round': 45, 'Results_raw': {'train_loss': 15.140363, 'val_loss': 16.374235, 'test_loss': 14.691772}}
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2024-10-14 17:07:40,171 (client:354) INFO: {'Role': 'Client #2', 'Round': 45, 'Results_raw': {'train_loss': 15.683485, 'val_loss': 16.414522, 'test_loss': 16.232663}}
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2024-10-14 17:08:22,530 (client:354) INFO: {'Role': 'Client #1', 'Round': 45, 'Results_raw': {'train_loss': 19.907755, 'val_loss': 19.410726, 'test_loss': 19.85101}}
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2024-10-14 17:09:04,813 (client:354) INFO: {'Role': 'Client #8', 'Round': 45, 'Results_raw': {'train_loss': 14.372106, 'val_loss': 15.113956, 'test_loss': 13.854812}}
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2024-10-14 17:09:47,616 (client:354) INFO: {'Role': 'Client #6', 'Round': 45, 'Results_raw': {'train_loss': 11.93794, 'val_loss': 12.621257, 'test_loss': 12.958932}}
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2024-10-14 17:10:30,158 (client:354) INFO: {'Role': 'Client #3', 'Round': 45, 'Results_raw': {'train_loss': 17.649441, 'val_loss': 17.699643, 'test_loss': 17.879282}}
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2024-10-14 17:10:30,163 (server:615) INFO: {'Role': 'Server #', 'Round': 44, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.286255), 'test_loss': np.float64(71407.616791), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.910705), 'val_loss': np.float64(73605.6802), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.286255), 'test_loss': np.float64(71407.616791), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.910705), 'val_loss': np.float64(73605.6802), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.697507), 'test_avg_loss_bottom_decile': np.float64(17.194723), 'test_avg_loss_top_decile': np.float64(26.326717), 'test_avg_loss_min': np.float64(17.147163), 'test_avg_loss_max': np.float64(26.326717), 'test_avg_loss_bottom10%': np.float64(17.147163), 'test_avg_loss_top10%': np.float64(26.326717), 'test_avg_loss_cos1': np.float64(0.991275), 'test_avg_loss_entropy': np.float64(2.293996), 'test_loss_std': np.float64(9495.225321), 'test_loss_bottom_decile': np.float64(60525.42395), 'test_loss_top_decile': np.float64(92670.042175), 'test_loss_min': np.float64(60358.015076), 'test_loss_max': np.float64(92670.042175), 'test_loss_bottom10%': np.float64(60358.015076), 'test_loss_top10%': np.float64(92670.042175), 'test_loss_cos1': np.float64(0.991275), 'test_loss_entropy': np.float64(2.293996), 'val_avg_loss_std': np.float64(2.583722), 'val_avg_loss_bottom_decile': np.float64(17.955485), 'val_avg_loss_top_decile': np.float64(26.544716), 'val_avg_loss_min': np.float64(17.840548), 'val_avg_loss_max': np.float64(26.544716), 'val_avg_loss_bottom10%': np.float64(17.840548), 'val_avg_loss_top10%': np.float64(26.544716), 'val_avg_loss_cos1': np.float64(0.992453), 'val_avg_loss_entropy': np.float64(2.295124), 'val_loss_std': np.float64(9094.699966), 'val_loss_bottom_decile': np.float64(63203.306213), 'val_loss_top_decile': np.float64(93437.401428), 'val_loss_min': np.float64(62798.728333), 'val_loss_max': np.float64(93437.401428), 'val_loss_bottom10%': np.float64(62798.728333), 'val_loss_top10%': np.float64(93437.401428), 'val_loss_cos1': np.float64(0.992453), 'val_loss_entropy': np.float64(2.295124)}}
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2024-10-14 17:10:30,215 (server:353) INFO: Server: Starting evaluation at the end of round 45.
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2024-10-14 17:10:30,216 (server:359) INFO: ----------- Starting a new training round (Round #46) -------------
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2024-10-14 17:12:19,502 (client:354) INFO: {'Role': 'Client #10', 'Round': 46, 'Results_raw': {'train_loss': 13.958224, 'val_loss': 13.922838, 'test_loss': 14.442408}}
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2024-10-14 17:13:03,980 (client:354) INFO: {'Role': 'Client #8', 'Round': 46, 'Results_raw': {'train_loss': 14.393997, 'val_loss': 14.631515, 'test_loss': 13.466848}}
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2024-10-14 17:13:45,762 (client:354) INFO: {'Role': 'Client #4', 'Round': 46, 'Results_raw': {'train_loss': 14.673566, 'val_loss': 13.528898, 'test_loss': 13.85514}}
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2024-10-14 17:14:29,233 (client:354) INFO: {'Role': 'Client #5', 'Round': 46, 'Results_raw': {'train_loss': 11.872318, 'val_loss': 11.753516, 'test_loss': 12.13744}}
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2024-10-14 17:15:09,386 (client:354) INFO: {'Role': 'Client #3', 'Round': 46, 'Results_raw': {'train_loss': 17.692021, 'val_loss': 17.681132, 'test_loss': 17.947835}}
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2024-10-14 17:15:51,498 (client:354) INFO: {'Role': 'Client #2', 'Round': 46, 'Results_raw': {'train_loss': 15.613397, 'val_loss': 16.531382, 'test_loss': 16.321702}}
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2024-10-14 17:16:32,431 (client:354) INFO: {'Role': 'Client #6', 'Round': 46, 'Results_raw': {'train_loss': 11.905125, 'val_loss': 12.621285, 'test_loss': 13.034954}}
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2024-10-14 17:17:15,531 (client:354) INFO: {'Role': 'Client #7', 'Round': 46, 'Results_raw': {'train_loss': 11.357012, 'val_loss': 11.497597, 'test_loss': 10.846771}}
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2024-10-14 17:17:57,712 (client:354) INFO: {'Role': 'Client #1', 'Round': 46, 'Results_raw': {'train_loss': 19.879462, 'val_loss': 19.304361, 'test_loss': 19.688661}}
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2024-10-14 17:18:38,976 (client:354) INFO: {'Role': 'Client #9', 'Round': 46, 'Results_raw': {'train_loss': 15.008406, 'val_loss': 16.276205, 'test_loss': 14.756766}}
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2024-10-14 17:18:38,980 (server:615) INFO: {'Role': 'Server #', 'Round': 45, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.332472), 'test_loss': np.float64(71570.29975), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.961462), 'val_loss': np.float64(73784.346173), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.332472), 'test_loss': np.float64(71570.29975), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.961462), 'val_loss': np.float64(73784.346173), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.717027), 'test_avg_loss_bottom_decile': np.float64(17.176927), 'test_avg_loss_top_decile': np.float64(26.366736), 'test_avg_loss_min': np.float64(17.141684), 'test_avg_loss_max': np.float64(26.366736), 'test_avg_loss_bottom10%': np.float64(17.141684), 'test_avg_loss_top10%': np.float64(26.366736), 'test_avg_loss_cos1': np.float64(0.991189), 'test_avg_loss_entropy': np.float64(2.2939), 'test_loss_std': np.float64(9563.934455), 'test_loss_bottom_decile': np.float64(60462.783325), 'test_loss_top_decile': np.float64(92810.911011), 'test_loss_min': np.float64(60338.728943), 'test_loss_max': np.float64(92810.911011), 'test_loss_bottom10%': np.float64(60338.728943), 'test_loss_top10%': np.float64(92810.911011), 'test_loss_cos1': np.float64(0.991189), 'test_loss_entropy': np.float64(2.2939), 'val_avg_loss_std': np.float64(2.612887), 'val_avg_loss_bottom_decile': np.float64(17.941203), 'val_avg_loss_top_decile': np.float64(26.593108), 'val_avg_loss_min': np.float64(17.855733), 'val_avg_loss_max': np.float64(26.593108), 'val_avg_loss_bottom10%': np.float64(17.855733), 'val_avg_loss_top10%': np.float64(26.593108), 'val_avg_loss_cos1': np.float64(0.99232), 'val_avg_loss_entropy': np.float64(2.294984), 'val_loss_std': np.float64(9197.362257), 'val_loss_bottom_decile': np.float64(63153.035767), 'val_loss_top_decile': np.float64(93607.741638), 'val_loss_min': np.float64(62852.180847), 'val_loss_max': np.float64(93607.741638), 'val_loss_bottom10%': np.float64(62852.180847), 'val_loss_top10%': np.float64(93607.741638), 'val_loss_cos1': np.float64(0.99232), 'val_loss_entropy': np.float64(2.294984)}}
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2024-10-14 17:18:39,018 (server:353) INFO: Server: Starting evaluation at the end of round 46.
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2024-10-14 17:18:39,019 (server:359) INFO: ----------- Starting a new training round (Round #47) -------------
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2024-10-14 17:20:23,503 (client:354) INFO: {'Role': 'Client #7', 'Round': 47, 'Results_raw': {'train_loss': 11.309593, 'val_loss': 11.431045, 'test_loss': 10.811156}}
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2024-10-14 17:21:09,472 (client:354) INFO: {'Role': 'Client #5', 'Round': 47, 'Results_raw': {'train_loss': 11.864479, 'val_loss': 11.856923, 'test_loss': 11.908039}}
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2024-10-14 17:21:49,964 (client:354) INFO: {'Role': 'Client #3', 'Round': 47, 'Results_raw': {'train_loss': 17.676053, 'val_loss': 17.587881, 'test_loss': 17.783938}}
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2024-10-14 17:22:31,682 (client:354) INFO: {'Role': 'Client #8', 'Round': 47, 'Results_raw': {'train_loss': 14.33263, 'val_loss': 14.90859, 'test_loss': 13.542079}}
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2024-10-14 17:23:14,072 (client:354) INFO: {'Role': 'Client #2', 'Round': 47, 'Results_raw': {'train_loss': 15.616301, 'val_loss': 16.517209, 'test_loss': 16.349445}}
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2024-10-14 17:23:54,086 (client:354) INFO: {'Role': 'Client #4', 'Round': 47, 'Results_raw': {'train_loss': 14.705782, 'val_loss': 13.850029, 'test_loss': 14.468326}}
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2024-10-14 17:24:36,271 (client:354) INFO: {'Role': 'Client #1', 'Round': 47, 'Results_raw': {'train_loss': 19.806641, 'val_loss': 19.462726, 'test_loss': 19.748482}}
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2024-10-14 17:25:19,135 (client:354) INFO: {'Role': 'Client #10', 'Round': 47, 'Results_raw': {'train_loss': 13.987385, 'val_loss': 14.053186, 'test_loss': 14.571505}}
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2024-10-14 17:26:01,716 (client:354) INFO: {'Role': 'Client #9', 'Round': 47, 'Results_raw': {'train_loss': 15.026537, 'val_loss': 16.285083, 'test_loss': 14.781198}}
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2024-10-14 17:26:44,841 (client:354) INFO: {'Role': 'Client #6', 'Round': 47, 'Results_raw': {'train_loss': 11.9169, 'val_loss': 12.599029, 'test_loss': 12.998387}}
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2024-10-14 17:26:44,845 (server:615) INFO: {'Role': 'Server #', 'Round': 46, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.271774), 'test_loss': np.float64(71356.645886), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.897169), 'val_loss': np.float64(73558.03642), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.271774), 'test_loss': np.float64(71356.645886), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.897169), 'val_loss': np.float64(73558.03642), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.62458), 'test_avg_loss_bottom_decile': np.float64(17.323547), 'test_avg_loss_top_decile': np.float64(26.148504), 'test_avg_loss_min': np.float64(17.160341), 'test_avg_loss_max': np.float64(26.148504), 'test_avg_loss_bottom10%': np.float64(17.160341), 'test_avg_loss_top10%': np.float64(26.148504), 'test_avg_loss_cos1': np.float64(0.991723), 'test_avg_loss_entropy': np.float64(2.294441), 'test_loss_std': np.float64(9238.521248), 'test_loss_bottom_decile': np.float64(60978.885986), 'test_loss_top_decile': np.float64(92042.732666), 'test_loss_min': np.float64(60404.398743), 'test_loss_max': np.float64(92042.732666), 'test_loss_bottom10%': np.float64(60404.398743), 'test_loss_top10%': np.float64(92042.732666), 'test_loss_cos1': np.float64(0.991723), 'test_loss_entropy': np.float64(2.294441), 'val_avg_loss_std': np.float64(2.513762), 'val_avg_loss_bottom_decile': np.float64(18.128492), 'val_avg_loss_top_decile': np.float64(26.359637), 'val_avg_loss_min': np.float64(17.799604), 'val_avg_loss_max': np.float64(26.359637), 'val_avg_loss_bottom10%': np.float64(17.799604), 'val_avg_loss_top10%': np.float64(26.359637), 'val_avg_loss_cos1': np.float64(0.992843), 'val_avg_loss_entropy': np.float64(2.295508), 'val_loss_std': np.float64(8848.441485), 'val_loss_bottom_decile': np.float64(63812.292175), 'val_loss_top_decile': np.float64(92785.92395), 'val_loss_min': np.float64(62654.604675), 'val_loss_max': np.float64(92785.92395), 'val_loss_bottom10%': np.float64(62654.604675), 'val_loss_top10%': np.float64(92785.92395), 'val_loss_cos1': np.float64(0.992843), 'val_loss_entropy': np.float64(2.295508)}}
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2024-10-14 17:26:44,886 (server:353) INFO: Server: Starting evaluation at the end of round 47.
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2024-10-14 17:26:44,887 (server:359) INFO: ----------- Starting a new training round (Round #48) -------------
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2024-10-14 17:28:34,046 (client:354) INFO: {'Role': 'Client #7', 'Round': 48, 'Results_raw': {'train_loss': 11.285494, 'val_loss': 11.428253, 'test_loss': 10.80875}}
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2024-10-14 17:29:21,242 (client:354) INFO: {'Role': 'Client #4', 'Round': 48, 'Results_raw': {'train_loss': 14.664065, 'val_loss': 13.710755, 'test_loss': 14.155984}}
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2024-10-14 17:30:00,742 (client:354) INFO: {'Role': 'Client #8', 'Round': 48, 'Results_raw': {'train_loss': 14.333861, 'val_loss': 14.697907, 'test_loss': 13.515565}}
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2024-10-14 17:30:48,023 (client:354) INFO: {'Role': 'Client #5', 'Round': 48, 'Results_raw': {'train_loss': 11.788304, 'val_loss': 11.650563, 'test_loss': 11.569139}}
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2024-10-14 17:31:28,031 (client:354) INFO: {'Role': 'Client #6', 'Round': 48, 'Results_raw': {'train_loss': 11.933591, 'val_loss': 12.58522, 'test_loss': 12.891486}}
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2024-10-14 17:32:11,583 (client:354) INFO: {'Role': 'Client #9', 'Round': 48, 'Results_raw': {'train_loss': 15.109039, 'val_loss': 16.691314, 'test_loss': 15.162789}}
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2024-10-14 17:32:53,333 (client:354) INFO: {'Role': 'Client #2', 'Round': 48, 'Results_raw': {'train_loss': 15.601941, 'val_loss': 16.297417, 'test_loss': 16.137519}}
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2024-10-14 17:33:35,394 (client:354) INFO: {'Role': 'Client #10', 'Round': 48, 'Results_raw': {'train_loss': 14.097372, 'val_loss': 13.980263, 'test_loss': 14.465118}}
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2024-10-14 17:34:16,160 (client:354) INFO: {'Role': 'Client #3', 'Round': 48, 'Results_raw': {'train_loss': 17.582712, 'val_loss': 17.718483, 'test_loss': 17.868317}}
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2024-10-14 17:34:57,621 (client:354) INFO: {'Role': 'Client #1', 'Round': 48, 'Results_raw': {'train_loss': 19.77724, 'val_loss': 19.531919, 'test_loss': 19.884237}}
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2024-10-14 17:34:57,626 (server:615) INFO: {'Role': 'Server #', 'Round': 47, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.220002), 'test_loss': np.float64(71174.407245), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.842095), 'val_loss': np.float64(73364.174756), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.220002), 'test_loss': np.float64(71174.407245), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.842095), 'val_loss': np.float64(73364.174756), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.619336), 'test_avg_loss_bottom_decile': np.float64(17.366979), 'test_avg_loss_top_decile': np.float64(26.118043), 'test_avg_loss_min': np.float64(17.023174), 'test_avg_loss_max': np.float64(26.118043), 'test_avg_loss_bottom10%': np.float64(17.023174), 'test_avg_loss_top10%': np.float64(26.118043), 'test_avg_loss_cos1': np.float64(0.991714), 'test_avg_loss_entropy': np.float64(2.294441), 'test_loss_std': np.float64(9220.063655), 'test_loss_bottom_decile': np.float64(61131.766846), 'test_loss_top_decile': np.float64(91935.512085), 'test_loss_min': np.float64(59921.57074), 'test_loss_max': np.float64(91935.512085), 'test_loss_bottom10%': np.float64(59921.57074), 'test_loss_top10%': np.float64(91935.512085), 'test_loss_cos1': np.float64(0.991714), 'test_loss_entropy': np.float64(2.294441), 'val_avg_loss_std': np.float64(2.506738), 'val_avg_loss_bottom_decile': np.float64(18.17132), 'val_avg_loss_top_decile': np.float64(26.31999), 'val_avg_loss_min': np.float64(17.658677), 'val_avg_loss_max': np.float64(26.31999), 'val_avg_loss_bottom10%': np.float64(17.658677), 'val_avg_loss_top10%': np.float64(26.31999), 'val_avg_loss_cos1': np.float64(0.992845), 'val_avg_loss_entropy': np.float64(2.295515), 'val_loss_std': np.float64(8823.717894), 'val_loss_bottom_decile': np.float64(63963.045776), 'val_loss_top_decile': np.float64(92646.366089), 'val_loss_min': np.float64(62158.544739), 'val_loss_max': np.float64(92646.366089), 'val_loss_bottom10%': np.float64(62158.544739), 'val_loss_top10%': np.float64(92646.366089), 'val_loss_cos1': np.float64(0.992845), 'val_loss_entropy': np.float64(2.295515)}}
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2024-10-14 17:34:57,680 (server:353) INFO: Server: Starting evaluation at the end of round 48.
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2024-10-14 17:34:57,681 (server:359) INFO: ----------- Starting a new training round (Round #49) -------------
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2024-10-14 17:36:44,374 (client:354) INFO: {'Role': 'Client #10', 'Round': 49, 'Results_raw': {'train_loss': 13.940775, 'val_loss': 14.057511, 'test_loss': 14.463503}}
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2024-10-14 17:37:27,287 (client:354) INFO: {'Role': 'Client #3', 'Round': 49, 'Results_raw': {'train_loss': 17.579563, 'val_loss': 17.647907, 'test_loss': 17.776046}}
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2024-10-14 17:38:08,731 (client:354) INFO: {'Role': 'Client #2', 'Round': 49, 'Results_raw': {'train_loss': 15.594005, 'val_loss': 16.432286, 'test_loss': 16.257317}}
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2024-10-14 17:38:52,233 (client:354) INFO: {'Role': 'Client #6', 'Round': 49, 'Results_raw': {'train_loss': 11.899718, 'val_loss': 12.659536, 'test_loss': 12.856328}}
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2024-10-14 17:39:34,171 (client:354) INFO: {'Role': 'Client #7', 'Round': 49, 'Results_raw': {'train_loss': 11.33195, 'val_loss': 11.553855, 'test_loss': 10.915075}}
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2024-10-14 17:40:16,057 (client:354) INFO: {'Role': 'Client #4', 'Round': 49, 'Results_raw': {'train_loss': 14.579179, 'val_loss': 13.593405, 'test_loss': 14.049635}}
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2024-10-14 17:40:59,053 (client:354) INFO: {'Role': 'Client #5', 'Round': 49, 'Results_raw': {'train_loss': 11.863492, 'val_loss': 11.644211, 'test_loss': 11.928109}}
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2024-10-14 17:41:39,926 (client:354) INFO: {'Role': 'Client #9', 'Round': 49, 'Results_raw': {'train_loss': 14.990371, 'val_loss': 16.525372, 'test_loss': 14.917995}}
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2024-10-14 17:42:22,010 (client:354) INFO: {'Role': 'Client #8', 'Round': 49, 'Results_raw': {'train_loss': 14.341295, 'val_loss': 15.098031, 'test_loss': 13.670041}}
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2024-10-14 17:43:07,960 (client:354) INFO: {'Role': 'Client #1', 'Round': 49, 'Results_raw': {'train_loss': 19.761032, 'val_loss': 19.581208, 'test_loss': 19.971941}}
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2024-10-14 17:43:07,964 (server:615) INFO: {'Role': 'Server #', 'Round': 48, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.251843), 'test_loss': np.float64(71286.48584), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.871355), 'val_loss': np.float64(73467.169891), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.251843), 'test_loss': np.float64(71286.48584), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.871355), 'val_loss': np.float64(73467.169891), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.684179), 'test_avg_loss_bottom_decile': np.float64(17.199999), 'test_avg_loss_top_decile': np.float64(26.273263), 'test_avg_loss_min': np.float64(17.104121), 'test_avg_loss_max': np.float64(26.273263), 'test_avg_loss_bottom10%': np.float64(17.104121), 'test_avg_loss_top10%': np.float64(26.273263), 'test_avg_loss_cos1': np.float64(0.991331), 'test_avg_loss_entropy': np.float64(2.294052), 'test_loss_std': np.float64(9448.308523), 'test_loss_bottom_decile': np.float64(60543.994812), 'test_loss_top_decile': np.float64(92481.885742), 'test_loss_min': np.float64(60206.504822), 'test_loss_max': np.float64(92481.885742), 'test_loss_bottom10%': np.float64(60206.504822), 'test_loss_top10%': np.float64(92481.885742), 'test_loss_cos1': np.float64(0.991331), 'test_loss_entropy': np.float64(2.294052), 'val_avg_loss_std': np.float64(2.58592), 'val_avg_loss_bottom_decile': np.float64(17.978493), 'val_avg_loss_top_decile': np.float64(26.484028), 'val_avg_loss_min': np.float64(17.749575), 'val_avg_loss_max': np.float64(26.484028), 'val_avg_loss_bottom10%': np.float64(17.749575), 'val_avg_loss_top10%': np.float64(26.484028), 'val_avg_loss_cos1': np.float64(0.992412), 'val_avg_loss_entropy': np.float64(2.29508), 'val_loss_std': np.float64(9102.436889), 'val_loss_bottom_decile': np.float64(63284.296143), 'val_loss_top_decile': np.float64(93223.777161), 'val_loss_min': np.float64(62478.503723), 'val_loss_max': np.float64(93223.777161), 'val_loss_bottom10%': np.float64(62478.503723), 'val_loss_top10%': np.float64(93223.777161), 'val_loss_cos1': np.float64(0.992412), 'val_loss_entropy': np.float64(2.29508)}}
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2024-10-14 17:43:08,000 (server:353) INFO: Server: Starting evaluation at the end of round 49.
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2024-10-14 17:43:08,001 (server:359) INFO: ----------- Starting a new training round (Round #50) -------------
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2024-10-14 17:44:52,981 (client:354) INFO: {'Role': 'Client #8', 'Round': 50, 'Results_raw': {'train_loss': 14.333574, 'val_loss': 14.535493, 'test_loss': 13.460654}}
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2024-10-14 17:45:34,045 (client:354) INFO: {'Role': 'Client #1', 'Round': 50, 'Results_raw': {'train_loss': 19.761705, 'val_loss': 19.397676, 'test_loss': 19.806063}}
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2024-10-14 17:46:14,190 (client:354) INFO: {'Role': 'Client #9', 'Round': 50, 'Results_raw': {'train_loss': 14.956387, 'val_loss': 16.053694, 'test_loss': 14.668722}}
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2024-10-14 17:46:55,265 (client:354) INFO: {'Role': 'Client #10', 'Round': 50, 'Results_raw': {'train_loss': 13.945611, 'val_loss': 13.987941, 'test_loss': 14.483214}}
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2024-10-14 17:47:36,561 (client:354) INFO: {'Role': 'Client #3', 'Round': 50, 'Results_raw': {'train_loss': 17.582396, 'val_loss': 17.680904, 'test_loss': 17.899343}}
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2024-10-14 17:48:16,681 (client:354) INFO: {'Role': 'Client #5', 'Round': 50, 'Results_raw': {'train_loss': 11.965161, 'val_loss': 11.783934, 'test_loss': 11.811329}}
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2024-10-14 17:48:59,191 (client:354) INFO: {'Role': 'Client #7', 'Round': 50, 'Results_raw': {'train_loss': 11.270628, 'val_loss': 11.401759, 'test_loss': 10.777316}}
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2024-10-14 17:49:41,763 (client:354) INFO: {'Role': 'Client #2', 'Round': 50, 'Results_raw': {'train_loss': 15.537307, 'val_loss': 16.504386, 'test_loss': 16.343251}}
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2024-10-14 17:50:23,242 (client:354) INFO: {'Role': 'Client #6', 'Round': 50, 'Results_raw': {'train_loss': 11.859355, 'val_loss': 12.560763, 'test_loss': 13.023345}}
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2024-10-14 17:51:04,462 (client:354) INFO: {'Role': 'Client #4', 'Round': 50, 'Results_raw': {'train_loss': 14.623974, 'val_loss': 13.654519, 'test_loss': 14.106144}}
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2024-10-14 17:51:04,466 (server:615) INFO: {'Role': 'Server #', 'Round': 49, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.155683), 'test_loss': np.float64(70948.005646), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.776367), 'val_loss': np.float64(73132.811658), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.155683), 'test_loss': np.float64(70948.005646), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.776367), 'val_loss': np.float64(73132.811658), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.673336), 'test_avg_loss_bottom_decile': np.float64(17.085735), 'test_avg_loss_top_decile': np.float64(26.136991), 'test_avg_loss_min': np.float64(17.040676), 'test_avg_loss_max': np.float64(26.136991), 'test_avg_loss_bottom10%': np.float64(17.040676), 'test_avg_loss_top10%': np.float64(26.136991), 'test_avg_loss_cos1': np.float64(0.991318), 'test_avg_loss_entropy': np.float64(2.294042), 'test_loss_std': np.float64(9410.142659), 'test_loss_bottom_decile': np.float64(60141.78894), 'test_loss_top_decile': np.float64(92002.206665), 'test_loss_min': np.float64(59983.180786), 'test_loss_max': np.float64(92002.206665), 'test_loss_bottom10%': np.float64(59983.180786), 'test_loss_top10%': np.float64(92002.206665), 'test_loss_cos1': np.float64(0.991318), 'test_loss_entropy': np.float64(2.294042), 'val_avg_loss_std': np.float64(2.566799), 'val_avg_loss_bottom_decile': np.float64(17.836467), 'val_avg_loss_top_decile': np.float64(26.347928), 'val_avg_loss_min': np.float64(17.740719), 'val_avg_loss_max': np.float64(26.347928), 'val_avg_loss_bottom10%': np.float64(17.740719), 'val_avg_loss_top10%': np.float64(26.347928), 'val_avg_loss_cos1': np.float64(0.992455), 'val_avg_loss_entropy': np.float64(2.295125), 'val_loss_std': np.float64(9035.133623), 'val_loss_bottom_decile': np.float64(62784.364441), 'val_loss_top_decile': np.float64(92744.707886), 'val_loss_min': np.float64(62447.329407), 'val_loss_max': np.float64(92744.707886), 'val_loss_bottom10%': np.float64(62447.329407), 'val_loss_top10%': np.float64(92744.707886), 'val_loss_cos1': np.float64(0.992455), 'val_loss_entropy': np.float64(2.295125)}}
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2024-10-14 17:51:04,508 (server:353) INFO: Server: Starting evaluation at the end of round 50.
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2024-10-14 17:51:04,509 (server:359) INFO: ----------- Starting a new training round (Round #51) -------------
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2024-10-14 17:52:53,124 (client:354) INFO: {'Role': 'Client #8', 'Round': 51, 'Results_raw': {'train_loss': 14.302474, 'val_loss': 14.983882, 'test_loss': 13.694463}}
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2024-10-14 17:53:32,943 (client:354) INFO: {'Role': 'Client #1', 'Round': 51, 'Results_raw': {'train_loss': 19.764624, 'val_loss': 19.45499, 'test_loss': 19.950084}}
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2024-10-14 17:54:15,245 (client:354) INFO: {'Role': 'Client #4', 'Round': 51, 'Results_raw': {'train_loss': 14.562313, 'val_loss': 13.537339, 'test_loss': 14.060502}}
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2024-10-14 17:54:55,812 (client:354) INFO: {'Role': 'Client #10', 'Round': 51, 'Results_raw': {'train_loss': 13.871375, 'val_loss': 14.057614, 'test_loss': 14.552163}}
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2024-10-14 17:55:41,323 (client:354) INFO: {'Role': 'Client #3', 'Round': 51, 'Results_raw': {'train_loss': 17.583997, 'val_loss': 17.694372, 'test_loss': 17.838452}}
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2024-10-14 17:56:20,362 (client:354) INFO: {'Role': 'Client #2', 'Round': 51, 'Results_raw': {'train_loss': 15.565011, 'val_loss': 16.531091, 'test_loss': 16.403351}}
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2024-10-14 17:57:02,426 (client:354) INFO: {'Role': 'Client #7', 'Round': 51, 'Results_raw': {'train_loss': 11.287111, 'val_loss': 11.3473, 'test_loss': 10.683603}}
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2024-10-14 17:57:45,548 (client:354) INFO: {'Role': 'Client #5', 'Round': 51, 'Results_raw': {'train_loss': 11.865174, 'val_loss': 11.685495, 'test_loss': 11.617211}}
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2024-10-14 17:58:27,640 (client:354) INFO: {'Role': 'Client #9', 'Round': 51, 'Results_raw': {'train_loss': 14.974381, 'val_loss': 16.166913, 'test_loss': 14.800114}}
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2024-10-14 17:59:08,170 (client:354) INFO: {'Role': 'Client #6', 'Round': 51, 'Results_raw': {'train_loss': 11.841587, 'val_loss': 12.575089, 'test_loss': 12.873261}}
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2024-10-14 17:59:08,174 (server:615) INFO: {'Role': 'Server #', 'Round': 50, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.22174), 'test_loss': np.float64(71180.526312), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.842071), 'val_loss': np.float64(73364.089246), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.22174), 'test_loss': np.float64(71180.526312), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.842071), 'val_loss': np.float64(73364.089246), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.702373), 'test_avg_loss_bottom_decile': np.float64(17.159667), 'test_avg_loss_top_decile': np.float64(26.239108), 'test_avg_loss_min': np.float64(17.098892), 'test_avg_loss_max': np.float64(26.239108), 'test_avg_loss_bottom10%': np.float64(17.098892), 'test_avg_loss_top10%': np.float64(26.239108), 'test_avg_loss_cos1': np.float64(0.991188), 'test_avg_loss_entropy': np.float64(2.293904), 'test_loss_std': np.float64(9512.353865), 'test_loss_bottom_decile': np.float64(60402.028564), 'test_loss_top_decile': np.float64(92361.659424), 'test_loss_min': np.float64(60188.101196), 'test_loss_max': np.float64(92361.659424), 'test_loss_bottom10%': np.float64(60188.101196), 'test_loss_top10%': np.float64(92361.659424), 'test_loss_cos1': np.float64(0.991188), 'test_loss_entropy': np.float64(2.293904), 'val_avg_loss_std': np.float64(2.597908), 'val_avg_loss_bottom_decile': np.float64(17.948187), 'val_avg_loss_top_decile': np.float64(26.467988), 'val_avg_loss_min': np.float64(17.743736), 'val_avg_loss_max': np.float64(26.467988), 'val_avg_loss_bottom10%': np.float64(17.743736), 'val_avg_loss_top10%': np.float64(26.467988), 'val_avg_loss_cos1': np.float64(0.992321), 'val_avg_loss_entropy': np.float64(2.294987), 'val_loss_std': np.float64(9144.637159), 'val_loss_bottom_decile': np.float64(63177.617371), 'val_loss_top_decile': np.float64(93167.317383), 'val_loss_min': np.float64(62457.94928), 'val_loss_max': np.float64(93167.317383), 'val_loss_bottom10%': np.float64(62457.94928), 'val_loss_top10%': np.float64(93167.317383), 'val_loss_cos1': np.float64(0.992321), 'val_loss_entropy': np.float64(2.294987)}}
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2024-10-14 17:59:08,216 (server:353) INFO: Server: Starting evaluation at the end of round 51.
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2024-10-14 17:59:08,217 (server:359) INFO: ----------- Starting a new training round (Round #52) -------------
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2024-10-14 18:00:54,593 (client:354) INFO: {'Role': 'Client #10', 'Round': 52, 'Results_raw': {'train_loss': 13.96626, 'val_loss': 13.904572, 'test_loss': 14.360962}}
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2024-10-14 18:01:35,721 (client:354) INFO: {'Role': 'Client #1', 'Round': 52, 'Results_raw': {'train_loss': 19.734327, 'val_loss': 19.352043, 'test_loss': 19.743743}}
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2024-10-14 18:02:21,029 (client:354) INFO: {'Role': 'Client #5', 'Round': 52, 'Results_raw': {'train_loss': 11.775361, 'val_loss': 11.545553, 'test_loss': 11.577869}}
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2024-10-14 18:03:02,425 (client:354) INFO: {'Role': 'Client #4', 'Round': 52, 'Results_raw': {'train_loss': 14.594992, 'val_loss': 13.589325, 'test_loss': 13.934419}}
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2024-10-14 18:03:44,523 (client:354) INFO: {'Role': 'Client #7', 'Round': 52, 'Results_raw': {'train_loss': 11.230351, 'val_loss': 11.442328, 'test_loss': 10.74066}}
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2024-10-14 18:04:24,665 (client:354) INFO: {'Role': 'Client #9', 'Round': 52, 'Results_raw': {'train_loss': 14.961878, 'val_loss': 16.234437, 'test_loss': 14.75205}}
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2024-10-14 18:05:06,733 (client:354) INFO: {'Role': 'Client #3', 'Round': 52, 'Results_raw': {'train_loss': 17.564762, 'val_loss': 17.605865, 'test_loss': 17.780319}}
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2024-10-14 18:05:49,317 (client:354) INFO: {'Role': 'Client #6', 'Round': 52, 'Results_raw': {'train_loss': 11.899892, 'val_loss': 12.675445, 'test_loss': 13.101565}}
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2024-10-14 18:06:29,753 (client:354) INFO: {'Role': 'Client #2', 'Round': 52, 'Results_raw': {'train_loss': 15.557316, 'val_loss': 16.312857, 'test_loss': 16.206608}}
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2024-10-14 18:07:06,767 (client:354) INFO: {'Role': 'Client #8', 'Round': 52, 'Results_raw': {'train_loss': 14.314762, 'val_loss': 14.53513, 'test_loss': 13.291212}}
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2024-10-14 18:07:06,771 (server:615) INFO: {'Role': 'Server #', 'Round': 51, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.180985), 'test_loss': np.float64(71037.06709), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.800548), 'val_loss': np.float64(73217.928131), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.180985), 'test_loss': np.float64(71037.06709), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.800548), 'val_loss': np.float64(73217.928131), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.729333), 'test_avg_loss_bottom_decile': np.float64(17.176175), 'test_avg_loss_top_decile': np.float64(26.310057), 'test_avg_loss_min': np.float64(16.888163), 'test_avg_loss_max': np.float64(26.310057), 'test_avg_loss_bottom10%': np.float64(16.888163), 'test_avg_loss_top10%': np.float64(26.310057), 'test_avg_loss_cos1': np.float64(0.990978), 'test_avg_loss_entropy': np.float64(2.293707), 'test_loss_std': np.float64(9607.25277), 'test_loss_bottom_decile': np.float64(60460.13501), 'test_loss_top_decile': np.float64(92611.399597), 'test_loss_min': np.float64(59446.335205), 'test_loss_max': np.float64(92611.399597), 'test_loss_bottom10%': np.float64(59446.335205), 'test_loss_top10%': np.float64(92611.399597), 'test_loss_cos1': np.float64(0.990978), 'test_loss_entropy': np.float64(2.293707), 'val_avg_loss_std': np.float64(2.613048), 'val_avg_loss_bottom_decile': np.float64(17.833011), 'val_avg_loss_top_decile': np.float64(26.475984), 'val_avg_loss_min': np.float64(17.668867), 'val_avg_loss_max': np.float64(26.475984), 'val_avg_loss_bottom10%': np.float64(17.668867), 'val_avg_loss_top10%': np.float64(26.475984), 'val_avg_loss_cos1': np.float64(0.992201), 'val_avg_loss_entropy': np.float64(2.294872), 'val_loss_std': np.float64(9197.929638), 'val_loss_bottom_decile': np.float64(62772.199402), 'val_loss_top_decile': np.float64(93195.463196), 'val_loss_min': np.float64(62194.411987), 'val_loss_max': np.float64(93195.463196), 'val_loss_bottom10%': np.float64(62194.411987), 'val_loss_top10%': np.float64(93195.463196), 'val_loss_cos1': np.float64(0.992201), 'val_loss_entropy': np.float64(2.294872)}}
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2024-10-14 18:07:06,809 (server:353) INFO: Server: Starting evaluation at the end of round 52.
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2024-10-14 18:07:06,810 (server:359) INFO: ----------- Starting a new training round (Round #53) -------------
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2024-10-14 18:08:55,523 (client:354) INFO: {'Role': 'Client #9', 'Round': 53, 'Results_raw': {'train_loss': 14.939253, 'val_loss': 16.072237, 'test_loss': 14.590174}}
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2024-10-14 18:09:35,636 (client:354) INFO: {'Role': 'Client #1', 'Round': 53, 'Results_raw': {'train_loss': 19.730755, 'val_loss': 19.418676, 'test_loss': 19.765217}}
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2024-10-14 18:10:15,535 (client:354) INFO: {'Role': 'Client #2', 'Round': 53, 'Results_raw': {'train_loss': 15.553308, 'val_loss': 16.324614, 'test_loss': 16.224993}}
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2024-10-14 18:10:58,684 (client:354) INFO: {'Role': 'Client #6', 'Round': 53, 'Results_raw': {'train_loss': 11.856994, 'val_loss': 12.629218, 'test_loss': 12.994819}}
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2024-10-14 18:11:36,101 (client:354) INFO: {'Role': 'Client #3', 'Round': 53, 'Results_raw': {'train_loss': 17.53586, 'val_loss': 17.584333, 'test_loss': 17.77263}}
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2024-10-14 18:12:15,394 (client:354) INFO: {'Role': 'Client #4', 'Round': 53, 'Results_raw': {'train_loss': 14.577188, 'val_loss': 13.584198, 'test_loss': 13.985676}}
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2024-10-14 18:12:56,758 (client:354) INFO: {'Role': 'Client #10', 'Round': 53, 'Results_raw': {'train_loss': 13.892706, 'val_loss': 13.973695, 'test_loss': 14.474966}}
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2024-10-14 18:13:38,105 (client:354) INFO: {'Role': 'Client #8', 'Round': 53, 'Results_raw': {'train_loss': 14.286918, 'val_loss': 14.675279, 'test_loss': 13.452901}}
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2024-10-14 18:14:17,306 (client:354) INFO: {'Role': 'Client #7', 'Round': 53, 'Results_raw': {'train_loss': 11.290963, 'val_loss': 11.38896, 'test_loss': 10.725631}}
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2024-10-14 18:14:59,930 (client:354) INFO: {'Role': 'Client #5', 'Round': 53, 'Results_raw': {'train_loss': 11.78961, 'val_loss': 11.404788, 'test_loss': 11.449677}}
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2024-10-14 18:14:59,933 (server:615) INFO: {'Role': 'Server #', 'Round': 52, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.152032), 'test_loss': np.float64(70935.154102), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.774469), 'val_loss': np.float64(73126.131281), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.152032), 'test_loss': np.float64(70935.154102), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.774469), 'val_loss': np.float64(73126.131281), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.750152), 'test_avg_loss_bottom_decile': np.float64(17.085949), 'test_avg_loss_top_decile': np.float64(26.354879), 'test_avg_loss_min': np.float64(16.943038), 'test_avg_loss_max': np.float64(26.354879), 'test_avg_loss_bottom10%': np.float64(16.943038), 'test_avg_loss_top10%': np.float64(26.354879), 'test_avg_loss_cos1': np.float64(0.990816), 'test_avg_loss_entropy': np.float64(2.293556), 'test_loss_std': np.float64(9680.535831), 'test_loss_bottom_decile': np.float64(60142.540039), 'test_loss_top_decile': np.float64(92769.172363), 'test_loss_min': np.float64(59639.494385), 'test_loss_max': np.float64(92769.172363), 'test_loss_bottom10%': np.float64(59639.494385), 'test_loss_top10%': np.float64(92769.172363), 'test_loss_cos1': np.float64(0.990816), 'test_loss_entropy': np.float64(2.293556), 'val_avg_loss_std': np.float64(2.64729), 'val_avg_loss_bottom_decile': np.float64(17.725006), 'val_avg_loss_top_decile': np.float64(26.566052), 'val_avg_loss_min': np.float64(17.724669), 'val_avg_loss_max': np.float64(26.566052), 'val_avg_loss_bottom10%': np.float64(17.724669), 'val_avg_loss_top10%': np.float64(26.566052), 'val_avg_loss_cos1': np.float64(0.991978), 'val_avg_loss_entropy': np.float64(2.29466), 'val_loss_std': np.float64(9318.461468), 'val_loss_bottom_decile': np.float64(62392.021606), 'val_loss_top_decile': np.float64(93512.502441), 'val_loss_min': np.float64(62390.836121), 'val_loss_max': np.float64(93512.502441), 'val_loss_bottom10%': np.float64(62390.836121), 'val_loss_top10%': np.float64(93512.502441), 'val_loss_cos1': np.float64(0.991978), 'val_loss_entropy': np.float64(2.29466)}}
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2024-10-14 18:14:59,970 (server:353) INFO: Server: Starting evaluation at the end of round 53.
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2024-10-14 18:14:59,971 (server:359) INFO: ----------- Starting a new training round (Round #54) -------------
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2024-10-14 18:16:44,711 (client:354) INFO: {'Role': 'Client #5', 'Round': 54, 'Results_raw': {'train_loss': 11.810049, 'val_loss': 11.910776, 'test_loss': 11.879892}}
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2024-10-14 18:17:22,928 (client:354) INFO: {'Role': 'Client #4', 'Round': 54, 'Results_raw': {'train_loss': 14.517883, 'val_loss': 13.675084, 'test_loss': 14.101682}}
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2024-10-14 18:18:07,465 (client:354) INFO: {'Role': 'Client #2', 'Round': 54, 'Results_raw': {'train_loss': 15.54805, 'val_loss': 16.361098, 'test_loss': 16.178814}}
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2024-10-14 18:18:53,435 (client:354) INFO: {'Role': 'Client #9', 'Round': 54, 'Results_raw': {'train_loss': 14.908565, 'val_loss': 15.942413, 'test_loss': 14.640698}}
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2024-10-14 18:19:36,417 (client:354) INFO: {'Role': 'Client #7', 'Round': 54, 'Results_raw': {'train_loss': 11.2091, 'val_loss': 11.47876, 'test_loss': 10.725731}}
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2024-10-14 18:20:18,429 (client:354) INFO: {'Role': 'Client #10', 'Round': 54, 'Results_raw': {'train_loss': 13.894561, 'val_loss': 13.964962, 'test_loss': 14.441985}}
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2024-10-14 18:21:03,783 (client:354) INFO: {'Role': 'Client #3', 'Round': 54, 'Results_raw': {'train_loss': 17.551543, 'val_loss': 17.672583, 'test_loss': 17.912395}}
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2024-10-14 18:21:45,816 (client:354) INFO: {'Role': 'Client #8', 'Round': 54, 'Results_raw': {'train_loss': 14.183891, 'val_loss': 14.871705, 'test_loss': 13.673709}}
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2024-10-14 18:22:27,275 (client:354) INFO: {'Role': 'Client #1', 'Round': 54, 'Results_raw': {'train_loss': 19.706736, 'val_loss': 19.404332, 'test_loss': 19.763057}}
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2024-10-14 18:23:10,378 (client:354) INFO: {'Role': 'Client #6', 'Round': 54, 'Results_raw': {'train_loss': 11.816306, 'val_loss': 12.550346, 'test_loss': 12.885852}}
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2024-10-14 18:23:10,383 (server:615) INFO: {'Role': 'Server #', 'Round': 53, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.147375), 'test_loss': np.float64(70918.761627), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.766895), 'val_loss': np.float64(73099.469647), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.147375), 'test_loss': np.float64(70918.761627), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.766895), 'val_loss': np.float64(73099.469647), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.69315), 'test_avg_loss_bottom_decile': np.float64(17.120835), 'test_avg_loss_top_decile': np.float64(26.201033), 'test_avg_loss_min': np.float64(17.100793), 'test_avg_loss_max': np.float64(26.201033), 'test_avg_loss_bottom10%': np.float64(17.100793), 'test_avg_loss_top10%': np.float64(26.201033), 'test_avg_loss_cos1': np.float64(0.991184), 'test_avg_loss_entropy': np.float64(2.293922), 'test_loss_std': np.float64(9479.887676), 'test_loss_bottom_decile': np.float64(60265.340332), 'test_loss_top_decile': np.float64(92227.636353), 'test_loss_min': np.float64(60194.791443), 'test_loss_max': np.float64(92227.636353), 'test_loss_bottom10%': np.float64(60194.791443), 'test_loss_top10%': np.float64(92227.636353), 'test_loss_cos1': np.float64(0.991184), 'test_loss_entropy': np.float64(2.293922), 'val_avg_loss_std': np.float64(2.585036), 'val_avg_loss_bottom_decile': np.float64(17.88861), 'val_avg_loss_top_decile': np.float64(26.390379), 'val_avg_loss_min': np.float64(17.760591), 'val_avg_loss_max': np.float64(26.390379), 'val_avg_loss_bottom10%': np.float64(17.760591), 'val_avg_loss_top10%': np.float64(26.390379), 'val_avg_loss_cos1': np.float64(0.992341), 'val_avg_loss_entropy': np.float64(2.29502), 'val_loss_std': np.float64(9099.32699), 'val_loss_bottom_decile': np.float64(62967.908875), 'val_loss_top_decile': np.float64(92894.132507), 'val_loss_min': np.float64(62517.27887), 'val_loss_max': np.float64(92894.132507), 'val_loss_bottom10%': np.float64(62517.27887), 'val_loss_top10%': np.float64(92894.132507), 'val_loss_cos1': np.float64(0.992341), 'val_loss_entropy': np.float64(2.29502)}}
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2024-10-14 18:23:10,427 (server:353) INFO: Server: Starting evaluation at the end of round 54.
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2024-10-14 18:23:10,428 (server:359) INFO: ----------- Starting a new training round (Round #55) -------------
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2024-10-14 18:24:58,196 (client:354) INFO: {'Role': 'Client #5', 'Round': 55, 'Results_raw': {'train_loss': 11.758009, 'val_loss': 11.65422, 'test_loss': 11.799097}}
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2024-10-14 18:25:40,897 (client:354) INFO: {'Role': 'Client #2', 'Round': 55, 'Results_raw': {'train_loss': 15.507319, 'val_loss': 16.332248, 'test_loss': 16.205123}}
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2024-10-14 18:26:22,255 (client:354) INFO: {'Role': 'Client #3', 'Round': 55, 'Results_raw': {'train_loss': 17.480761, 'val_loss': 17.537081, 'test_loss': 17.752333}}
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2024-10-14 18:27:06,230 (client:354) INFO: {'Role': 'Client #7', 'Round': 55, 'Results_raw': {'train_loss': 11.249217, 'val_loss': 11.513356, 'test_loss': 10.849163}}
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2024-10-14 18:27:47,604 (client:354) INFO: {'Role': 'Client #6', 'Round': 55, 'Results_raw': {'train_loss': 11.861987, 'val_loss': 12.523119, 'test_loss': 12.977901}}
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2024-10-14 18:28:27,982 (client:354) INFO: {'Role': 'Client #9', 'Round': 55, 'Results_raw': {'train_loss': 14.980356, 'val_loss': 16.185985, 'test_loss': 14.794689}}
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2024-10-14 18:29:11,075 (client:354) INFO: {'Role': 'Client #1', 'Round': 55, 'Results_raw': {'train_loss': 19.679051, 'val_loss': 19.294796, 'test_loss': 19.730916}}
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2024-10-14 18:29:52,597 (client:354) INFO: {'Role': 'Client #10', 'Round': 55, 'Results_raw': {'train_loss': 13.863105, 'val_loss': 13.878753, 'test_loss': 14.462107}}
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2024-10-14 18:30:34,479 (client:354) INFO: {'Role': 'Client #4', 'Round': 55, 'Results_raw': {'train_loss': 14.574276, 'val_loss': 13.533161, 'test_loss': 14.030915}}
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2024-10-14 18:31:14,272 (client:354) INFO: {'Role': 'Client #8', 'Round': 55, 'Results_raw': {'train_loss': 14.168735, 'val_loss': 14.543352, 'test_loss': 13.464767}}
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2024-10-14 18:31:14,277 (server:615) INFO: {'Role': 'Server #', 'Round': 54, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.089565), 'test_loss': np.float64(70715.267798), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.713504), 'val_loss': np.float64(72911.535498), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.089565), 'test_loss': np.float64(70715.267798), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.713504), 'val_loss': np.float64(72911.535498), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.711715), 'test_avg_loss_bottom_decile': np.float64(17.084817), 'test_avg_loss_top_decile': np.float64(26.218564), 'test_avg_loss_min': np.float64(16.924312), 'test_avg_loss_max': np.float64(26.218564), 'test_avg_loss_bottom10%': np.float64(16.924312), 'test_avg_loss_top10%': np.float64(26.218564), 'test_avg_loss_cos1': np.float64(0.991013), 'test_avg_loss_entropy': np.float64(2.293758), 'test_loss_std': np.float64(9545.236418), 'test_loss_bottom_decile': np.float64(60138.556946), 'test_loss_top_decile': np.float64(92289.346008), 'test_loss_min': np.float64(59573.579163), 'test_loss_max': np.float64(92289.346008), 'test_loss_bottom10%': np.float64(59573.579163), 'test_loss_top10%': np.float64(92289.346008), 'test_loss_cos1': np.float64(0.991013), 'test_loss_entropy': np.float64(2.293758), 'val_avg_loss_std': np.float64(2.602454), 'val_avg_loss_bottom_decile': np.float64(17.741171), 'val_avg_loss_top_decile': np.float64(26.427827), 'val_avg_loss_min': np.float64(17.713941), 'val_avg_loss_max': np.float64(26.427827), 'val_avg_loss_bottom10%': np.float64(17.713941), 'val_avg_loss_top10%': np.float64(26.427827), 'val_avg_loss_cos1': np.float64(0.992199), 'val_avg_loss_entropy': np.float64(2.294886), 'val_loss_std': np.float64(9160.639309), 'val_loss_bottom_decile': np.float64(62448.921997), 'val_loss_top_decile': np.float64(93025.95105), 'val_loss_min': np.float64(62353.073547), 'val_loss_max': np.float64(93025.95105), 'val_loss_bottom10%': np.float64(62353.073547), 'val_loss_top10%': np.float64(93025.95105), 'val_loss_cos1': np.float64(0.992199), 'val_loss_entropy': np.float64(2.294886)}}
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2024-10-14 18:31:14,322 (server:353) INFO: Server: Starting evaluation at the end of round 55.
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2024-10-14 18:31:14,323 (server:359) INFO: ----------- Starting a new training round (Round #56) -------------
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2024-10-14 18:33:12,453 (client:354) INFO: {'Role': 'Client #5', 'Round': 56, 'Results_raw': {'train_loss': 11.706971, 'val_loss': 11.705358, 'test_loss': 11.835772}}
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2024-10-14 18:33:51,327 (client:354) INFO: {'Role': 'Client #10', 'Round': 56, 'Results_raw': {'train_loss': 13.822415, 'val_loss': 13.981213, 'test_loss': 14.589876}}
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2024-10-14 18:34:33,161 (client:354) INFO: {'Role': 'Client #7', 'Round': 56, 'Results_raw': {'train_loss': 11.213863, 'val_loss': 11.384206, 'test_loss': 10.713034}}
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2024-10-14 18:35:18,039 (client:354) INFO: {'Role': 'Client #8', 'Round': 56, 'Results_raw': {'train_loss': 14.212668, 'val_loss': 14.635448, 'test_loss': 13.409733}}
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2024-10-14 18:36:01,401 (client:354) INFO: {'Role': 'Client #9', 'Round': 56, 'Results_raw': {'train_loss': 14.925293, 'val_loss': 16.13604, 'test_loss': 14.663557}}
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2024-10-14 18:36:42,761 (client:354) INFO: {'Role': 'Client #4', 'Round': 56, 'Results_raw': {'train_loss': 14.518614, 'val_loss': 13.483738, 'test_loss': 13.932162}}
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2024-10-14 18:37:23,602 (client:354) INFO: {'Role': 'Client #3', 'Round': 56, 'Results_raw': {'train_loss': 17.487279, 'val_loss': 17.637364, 'test_loss': 17.816762}}
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2024-10-14 18:38:05,323 (client:354) INFO: {'Role': 'Client #1', 'Round': 56, 'Results_raw': {'train_loss': 19.667822, 'val_loss': 19.45952, 'test_loss': 19.932718}}
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2024-10-14 18:38:47,202 (client:354) INFO: {'Role': 'Client #2', 'Round': 56, 'Results_raw': {'train_loss': 15.498627, 'val_loss': 16.327792, 'test_loss': 16.135289}}
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2024-10-14 18:39:27,801 (client:354) INFO: {'Role': 'Client #6', 'Round': 56, 'Results_raw': {'train_loss': 11.862007, 'val_loss': 12.627841, 'test_loss': 13.022783}}
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2024-10-14 18:39:27,806 (server:615) INFO: {'Role': 'Server #', 'Round': 55, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.173974), 'test_loss': np.float64(71012.390027), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.78623), 'val_loss': np.float64(73167.528015), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.173974), 'test_loss': np.float64(71012.390027), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.78623), 'val_loss': np.float64(73167.528015), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.723107), 'test_avg_loss_bottom_decile': np.float64(17.060336), 'test_avg_loss_top_decile': np.float64(26.257556), 'test_avg_loss_min': np.float64(16.949805), 'test_avg_loss_max': np.float64(26.257556), 'test_avg_loss_bottom10%': np.float64(16.949805), 'test_avg_loss_top10%': np.float64(26.257556), 'test_avg_loss_cos1': np.float64(0.991013), 'test_avg_loss_entropy': np.float64(2.293732), 'test_loss_std': np.float64(9585.33574), 'test_loss_bottom_decile': np.float64(60052.38446), 'test_loss_top_decile': np.float64(92426.596375), 'test_loss_min': np.float64(59663.31311), 'test_loss_max': np.float64(92426.596375), 'test_loss_bottom10%': np.float64(59663.31311), 'test_loss_top10%': np.float64(92426.596375), 'test_loss_cos1': np.float64(0.991013), 'test_loss_entropy': np.float64(2.293732), 'val_avg_loss_std': np.float64(2.633259), 'val_avg_loss_bottom_decile': np.float64(17.705544), 'val_avg_loss_top_decile': np.float64(26.467115), 'val_avg_loss_min': np.float64(17.686185), 'val_avg_loss_max': np.float64(26.467115), 'val_avg_loss_bottom10%': np.float64(17.686185), 'val_avg_loss_top10%': np.float64(26.467115), 'val_avg_loss_cos1': np.float64(0.992071), 'val_avg_loss_entropy': np.float64(2.294735), 'val_loss_std': np.float64(9269.070308), 'val_loss_bottom_decile': np.float64(62323.513245), 'val_loss_top_decile': np.float64(93164.243958), 'val_loss_min': np.float64(62255.371948), 'val_loss_max': np.float64(93164.243958), 'val_loss_bottom10%': np.float64(62255.371948), 'val_loss_top10%': np.float64(93164.243958), 'val_loss_cos1': np.float64(0.992071), 'val_loss_entropy': np.float64(2.294735)}}
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2024-10-14 18:39:27,840 (server:353) INFO: Server: Starting evaluation at the end of round 56.
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2024-10-14 18:39:27,841 (server:359) INFO: ----------- Starting a new training round (Round #57) -------------
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2024-10-14 18:41:15,851 (client:354) INFO: {'Role': 'Client #2', 'Round': 57, 'Results_raw': {'train_loss': 15.484649, 'val_loss': 16.448315, 'test_loss': 16.150262}}
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2024-10-14 18:41:57,209 (client:354) INFO: {'Role': 'Client #10', 'Round': 57, 'Results_raw': {'train_loss': 13.806804, 'val_loss': 13.875013, 'test_loss': 14.45782}}
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2024-10-14 18:42:38,737 (client:354) INFO: {'Role': 'Client #5', 'Round': 57, 'Results_raw': {'train_loss': 11.818697, 'val_loss': 11.553553, 'test_loss': 11.833469}}
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2024-10-14 18:43:20,939 (client:354) INFO: {'Role': 'Client #7', 'Round': 57, 'Results_raw': {'train_loss': 11.308974, 'val_loss': 11.605805, 'test_loss': 10.98341}}
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2024-10-14 18:44:00,125 (client:354) INFO: {'Role': 'Client #4', 'Round': 57, 'Results_raw': {'train_loss': 14.547622, 'val_loss': 13.781987, 'test_loss': 14.201372}}
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2024-10-14 18:44:40,441 (client:354) INFO: {'Role': 'Client #6', 'Round': 57, 'Results_raw': {'train_loss': 11.807841, 'val_loss': 12.609031, 'test_loss': 13.096738}}
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2024-10-14 18:45:20,889 (client:354) INFO: {'Role': 'Client #8', 'Round': 57, 'Results_raw': {'train_loss': 14.201421, 'val_loss': 14.644028, 'test_loss': 13.166832}}
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2024-10-14 18:45:59,612 (client:354) INFO: {'Role': 'Client #1', 'Round': 57, 'Results_raw': {'train_loss': 19.708445, 'val_loss': 19.418388, 'test_loss': 19.759532}}
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2024-10-14 18:46:39,132 (client:354) INFO: {'Role': 'Client #9', 'Round': 57, 'Results_raw': {'train_loss': 14.871789, 'val_loss': 16.393821, 'test_loss': 14.862594}}
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2024-10-14 18:47:21,211 (client:354) INFO: {'Role': 'Client #3', 'Round': 57, 'Results_raw': {'train_loss': 17.468226, 'val_loss': 17.690282, 'test_loss': 17.894965}}
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2024-10-14 18:47:21,216 (server:615) INFO: {'Role': 'Server #', 'Round': 56, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.150752), 'test_loss': np.float64(70930.645667), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.764896), 'val_loss': np.float64(73092.432733), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.150752), 'test_loss': np.float64(70930.645667), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.764896), 'val_loss': np.float64(73092.432733), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.691357), 'test_avg_loss_bottom_decile': np.float64(17.075356), 'test_avg_loss_top_decile': np.float64(26.219651), 'test_avg_loss_min': np.float64(16.930926), 'test_avg_loss_max': np.float64(26.219651), 'test_avg_loss_bottom10%': np.float64(16.930926), 'test_avg_loss_top10%': np.float64(26.219651), 'test_avg_loss_cos1': np.float64(0.991198), 'test_avg_loss_entropy': np.float64(2.293928), 'test_loss_std': np.float64(9473.575971), 'test_loss_bottom_decile': np.float64(60105.254517), 'test_loss_top_decile': np.float64(92293.172913), 'test_loss_min': np.float64(59596.857849), 'test_loss_max': np.float64(92293.172913), 'test_loss_bottom10%': np.float64(59596.857849), 'test_loss_top10%': np.float64(92293.172913), 'test_loss_cos1': np.float64(0.991198), 'test_loss_entropy': np.float64(2.293928), 'val_avg_loss_std': np.float64(2.589631), 'val_avg_loss_bottom_decile': np.float64(17.708375), 'val_avg_loss_top_decile': np.float64(26.416431), 'val_avg_loss_min': np.float64(17.692173), 'val_avg_loss_max': np.float64(26.416431), 'val_avg_loss_bottom10%': np.float64(17.692173), 'val_avg_loss_top10%': np.float64(26.416431), 'val_avg_loss_cos1': np.float64(0.992313), 'val_avg_loss_entropy': np.float64(2.294985), 'val_loss_std': np.float64(9115.500961), 'val_loss_bottom_decile': np.float64(62333.47937), 'val_loss_top_decile': np.float64(92985.836975), 'val_loss_min': np.float64(62276.44928), 'val_loss_max': np.float64(92985.836975), 'val_loss_bottom10%': np.float64(62276.44928), 'val_loss_top10%': np.float64(92985.836975), 'val_loss_cos1': np.float64(0.992313), 'val_loss_entropy': np.float64(2.294985)}}
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2024-10-14 18:47:21,257 (server:353) INFO: Server: Starting evaluation at the end of round 57.
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2024-10-14 18:47:21,258 (server:359) INFO: ----------- Starting a new training round (Round #58) -------------
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2024-10-14 18:49:09,676 (client:354) INFO: {'Role': 'Client #6', 'Round': 58, 'Results_raw': {'train_loss': 11.842234, 'val_loss': 12.519262, 'test_loss': 12.856942}}
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2024-10-14 18:49:49,893 (client:354) INFO: {'Role': 'Client #8', 'Round': 58, 'Results_raw': {'train_loss': 14.175011, 'val_loss': 14.742676, 'test_loss': 13.350414}}
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2024-10-14 18:50:31,155 (client:354) INFO: {'Role': 'Client #10', 'Round': 58, 'Results_raw': {'train_loss': 13.792196, 'val_loss': 13.888701, 'test_loss': 14.545773}}
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2024-10-14 18:51:12,328 (client:354) INFO: {'Role': 'Client #9', 'Round': 58, 'Results_raw': {'train_loss': 14.880955, 'val_loss': 16.082736, 'test_loss': 14.574848}}
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2024-10-14 18:51:55,245 (client:354) INFO: {'Role': 'Client #4', 'Round': 58, 'Results_raw': {'train_loss': 14.490777, 'val_loss': 13.49237, 'test_loss': 13.948208}}
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2024-10-14 18:52:35,650 (client:354) INFO: {'Role': 'Client #2', 'Round': 58, 'Results_raw': {'train_loss': 15.466102, 'val_loss': 16.345271, 'test_loss': 16.279407}}
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2024-10-14 18:53:17,275 (client:354) INFO: {'Role': 'Client #3', 'Round': 58, 'Results_raw': {'train_loss': 17.48487, 'val_loss': 17.732731, 'test_loss': 17.936155}}
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2024-10-14 18:54:00,283 (client:354) INFO: {'Role': 'Client #5', 'Round': 58, 'Results_raw': {'train_loss': 11.76105, 'val_loss': 11.731777, 'test_loss': 11.713566}}
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2024-10-14 18:54:42,524 (client:354) INFO: {'Role': 'Client #7', 'Round': 58, 'Results_raw': {'train_loss': 11.205895, 'val_loss': 11.373779, 'test_loss': 10.701902}}
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2024-10-14 18:55:24,339 (client:354) INFO: {'Role': 'Client #1', 'Round': 58, 'Results_raw': {'train_loss': 19.671279, 'val_loss': 19.413539, 'test_loss': 19.78823}}
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2024-10-14 18:55:24,343 (server:615) INFO: {'Role': 'Server #', 'Round': 57, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.012753), 'test_loss': np.float64(70444.888861), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.626391), 'val_loss': np.float64(72604.895026), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.012753), 'test_loss': np.float64(70444.888861), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.626391), 'val_loss': np.float64(72604.895026), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.680079), 'test_avg_loss_bottom_decile': np.float64(16.965188), 'test_avg_loss_top_decile': np.float64(26.078226), 'test_avg_loss_min': np.float64(16.823153), 'test_avg_loss_max': np.float64(26.078226), 'test_avg_loss_bottom10%': np.float64(16.823153), 'test_avg_loss_top10%': np.float64(26.078226), 'test_avg_loss_cos1': np.float64(0.991152), 'test_avg_loss_entropy': np.float64(2.29389), 'test_loss_std': np.float64(9433.879595), 'test_loss_bottom_decile': np.float64(59717.460876), 'test_loss_top_decile': np.float64(91795.356323), 'test_loss_min': np.float64(59217.49762), 'test_loss_max': np.float64(91795.356323), 'test_loss_bottom10%': np.float64(59217.49762), 'test_loss_top10%': np.float64(91795.356323), 'test_loss_cos1': np.float64(0.991152), 'test_loss_entropy': np.float64(2.29389), 'val_avg_loss_std': np.float64(2.576005), 'val_avg_loss_bottom_decile': np.float64(17.593542), 'val_avg_loss_top_decile': np.float64(26.269884), 'val_avg_loss_min': np.float64(17.591077), 'val_avg_loss_max': np.float64(26.269884), 'val_avg_loss_bottom10%': np.float64(17.591077), 'val_avg_loss_top10%': np.float64(26.269884), 'val_avg_loss_cos1': np.float64(0.992291), 'val_avg_loss_entropy': np.float64(2.294969), 'val_loss_std': np.float64(9067.537985), 'val_loss_bottom_decile': np.float64(61929.269165), 'val_loss_top_decile': np.float64(92469.991882), 'val_loss_min': np.float64(61920.592468), 'val_loss_max': np.float64(92469.991882), 'val_loss_bottom10%': np.float64(61920.592468), 'val_loss_top10%': np.float64(92469.991882), 'val_loss_cos1': np.float64(0.992291), 'val_loss_entropy': np.float64(2.294969)}}
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2024-10-14 18:55:24,383 (server:353) INFO: Server: Starting evaluation at the end of round 58.
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2024-10-14 18:55:24,384 (server:359) INFO: ----------- Starting a new training round (Round #59) -------------
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2024-10-14 18:57:13,422 (client:354) INFO: {'Role': 'Client #1', 'Round': 59, 'Results_raw': {'train_loss': 19.620152, 'val_loss': 19.29559, 'test_loss': 19.632145}}
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2024-10-14 18:57:55,972 (client:354) INFO: {'Role': 'Client #10', 'Round': 59, 'Results_raw': {'train_loss': 13.911211, 'val_loss': 13.931202, 'test_loss': 14.589013}}
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2024-10-14 18:58:42,553 (client:354) INFO: {'Role': 'Client #5', 'Round': 59, 'Results_raw': {'train_loss': 11.679367, 'val_loss': 11.693241, 'test_loss': 11.81021}}
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2024-10-14 18:59:22,652 (client:354) INFO: {'Role': 'Client #3', 'Round': 59, 'Results_raw': {'train_loss': 17.41399, 'val_loss': 17.454959, 'test_loss': 17.64141}}
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2024-10-14 19:00:04,493 (client:354) INFO: {'Role': 'Client #8', 'Round': 59, 'Results_raw': {'train_loss': 14.106551, 'val_loss': 14.487857, 'test_loss': 13.386831}}
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2024-10-14 19:00:46,701 (client:354) INFO: {'Role': 'Client #2', 'Round': 59, 'Results_raw': {'train_loss': 15.47246, 'val_loss': 16.333538, 'test_loss': 16.180815}}
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2024-10-14 19:01:28,132 (client:354) INFO: {'Role': 'Client #6', 'Round': 59, 'Results_raw': {'train_loss': 11.809308, 'val_loss': 12.639739, 'test_loss': 12.921813}}
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2024-10-14 19:02:10,246 (client:354) INFO: {'Role': 'Client #7', 'Round': 59, 'Results_raw': {'train_loss': 11.179078, 'val_loss': 11.357747, 'test_loss': 10.688656}}
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2024-10-14 19:02:52,391 (client:354) INFO: {'Role': 'Client #9', 'Round': 59, 'Results_raw': {'train_loss': 14.819628, 'val_loss': 16.162248, 'test_loss': 14.848445}}
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2024-10-14 19:03:34,173 (client:354) INFO: {'Role': 'Client #4', 'Round': 59, 'Results_raw': {'train_loss': 14.461283, 'val_loss': 13.371328, 'test_loss': 13.782029}}
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2024-10-14 19:03:34,178 (server:615) INFO: {'Role': 'Server #', 'Round': 58, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.044266), 'test_loss': np.float64(70555.815137), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.659858), 'val_loss': np.float64(72722.701111), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.044266), 'test_loss': np.float64(70555.815137), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.659858), 'val_loss': np.float64(72722.701111), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.699597), 'test_avg_loss_bottom_decile': np.float64(17.015254), 'test_avg_loss_top_decile': np.float64(26.100843), 'test_avg_loss_min': np.float64(16.8789), 'test_avg_loss_max': np.float64(26.100843), 'test_avg_loss_bottom10%': np.float64(16.8789), 'test_avg_loss_top10%': np.float64(26.100843), 'test_avg_loss_cos1': np.float64(0.991052), 'test_avg_loss_entropy': np.float64(2.293786), 'test_loss_std': np.float64(9502.582081), 'test_loss_bottom_decile': np.float64(59893.694641), 'test_loss_top_decile': np.float64(91874.968872), 'test_loss_min': np.float64(59413.726624), 'test_loss_max': np.float64(91874.968872), 'test_loss_bottom10%': np.float64(59413.726624), 'test_loss_top10%': np.float64(91874.968872), 'test_loss_cos1': np.float64(0.991052), 'test_loss_entropy': np.float64(2.293786), 'val_avg_loss_std': np.float64(2.607142), 'val_avg_loss_bottom_decile': np.float64(17.648885), 'val_avg_loss_top_decile': np.float64(26.310618), 'val_avg_loss_min': np.float64(17.63756), 'val_avg_loss_max': np.float64(26.310618), 'val_avg_loss_bottom10%': np.float64(17.63756), 'val_avg_loss_top10%': np.float64(26.310618), 'val_avg_loss_cos1': np.float64(0.992131), 'val_avg_loss_entropy': np.float64(2.294806), 'val_loss_std': np.float64(9177.139361), 'val_loss_bottom_decile': np.float64(62124.075684), 'val_loss_top_decile': np.float64(92613.375793), 'val_loss_min': np.float64(62084.21283), 'val_loss_max': np.float64(92613.375793), 'val_loss_bottom10%': np.float64(62084.21283), 'val_loss_top10%': np.float64(92613.375793), 'val_loss_cos1': np.float64(0.992131), 'val_loss_entropy': np.float64(2.294806)}}
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2024-10-14 19:03:34,221 (server:353) INFO: Server: Starting evaluation at the end of round 59.
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2024-10-14 19:03:34,222 (server:359) INFO: ----------- Starting a new training round (Round #60) -------------
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2024-10-14 19:05:25,204 (client:354) INFO: {'Role': 'Client #4', 'Round': 60, 'Results_raw': {'train_loss': 14.426236, 'val_loss': 13.378072, 'test_loss': 13.819317}}
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2024-10-14 19:06:07,080 (client:354) INFO: {'Role': 'Client #10', 'Round': 60, 'Results_raw': {'train_loss': 13.838066, 'val_loss': 13.956501, 'test_loss': 14.552865}}
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2024-10-14 19:06:48,925 (client:354) INFO: {'Role': 'Client #1', 'Round': 60, 'Results_raw': {'train_loss': 19.613855, 'val_loss': 19.488161, 'test_loss': 19.815383}}
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2024-10-14 19:07:32,798 (client:354) INFO: {'Role': 'Client #9', 'Round': 60, 'Results_raw': {'train_loss': 14.782026, 'val_loss': 15.947203, 'test_loss': 14.52574}}
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2024-10-14 19:08:17,562 (client:354) INFO: {'Role': 'Client #5', 'Round': 60, 'Results_raw': {'train_loss': 11.622716, 'val_loss': 11.4272, 'test_loss': 11.515898}}
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2024-10-14 19:08:58,419 (client:354) INFO: {'Role': 'Client #3', 'Round': 60, 'Results_raw': {'train_loss': 17.413246, 'val_loss': 17.783361, 'test_loss': 17.984153}}
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2024-10-14 19:09:41,245 (client:354) INFO: {'Role': 'Client #7', 'Round': 60, 'Results_raw': {'train_loss': 11.1626, 'val_loss': 11.31151, 'test_loss': 10.695528}}
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2024-10-14 19:10:23,075 (client:354) INFO: {'Role': 'Client #2', 'Round': 60, 'Results_raw': {'train_loss': 15.444614, 'val_loss': 16.256512, 'test_loss': 16.114751}}
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2024-10-14 19:11:09,208 (client:354) INFO: {'Role': 'Client #6', 'Round': 60, 'Results_raw': {'train_loss': 11.788608, 'val_loss': 12.682261, 'test_loss': 13.171344}}
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2024-10-14 19:11:51,928 (client:354) INFO: {'Role': 'Client #8', 'Round': 60, 'Results_raw': {'train_loss': 14.153802, 'val_loss': 14.970769, 'test_loss': 13.57865}}
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2024-10-14 19:11:51,931 (server:615) INFO: {'Role': 'Server #', 'Round': 59, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.120076), 'test_loss': np.float64(70822.666736), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.724369), 'val_loss': np.float64(72949.77901), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.120076), 'test_loss': np.float64(70822.666736), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.724369), 'val_loss': np.float64(72949.77901), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.672459), 'test_avg_loss_bottom_decile': np.float64(17.114143), 'test_avg_loss_top_decile': np.float64(26.110603), 'test_avg_loss_min': np.float64(16.952137), 'test_avg_loss_max': np.float64(26.110603), 'test_avg_loss_bottom10%': np.float64(16.952137), 'test_avg_loss_top10%': np.float64(26.110603), 'test_avg_loss_cos1': np.float64(0.991294), 'test_avg_loss_entropy': np.float64(2.29402), 'test_loss_std': np.float64(9407.054333), 'test_loss_bottom_decile': np.float64(60241.783569), 'test_loss_top_decile': np.float64(91909.323608), 'test_loss_min': np.float64(59671.521667), 'test_loss_max': np.float64(91909.323608), 'test_loss_bottom10%': np.float64(59671.521667), 'test_loss_top10%': np.float64(91909.323608), 'test_loss_cos1': np.float64(0.991294), 'test_loss_entropy': np.float64(2.29402), 'val_avg_loss_std': np.float64(2.579859), 'val_avg_loss_bottom_decile': np.float64(17.743069), 'val_avg_loss_top_decile': np.float64(26.299474), 'val_avg_loss_min': np.float64(17.699412), 'val_avg_loss_max': np.float64(26.299474), 'val_avg_loss_bottom10%': np.float64(17.699412), 'val_avg_loss_top10%': np.float64(26.299474), 'val_avg_loss_cos1': np.float64(0.992341), 'val_avg_loss_entropy': np.float64(2.29501), 'val_loss_std': np.float64(9081.105034), 'val_loss_bottom_decile': np.float64(62455.601807), 'val_loss_top_decile': np.float64(92574.14978), 'val_loss_min': np.float64(62301.931152), 'val_loss_max': np.float64(92574.14978), 'val_loss_bottom10%': np.float64(62301.931152), 'val_loss_top10%': np.float64(92574.14978), 'val_loss_cos1': np.float64(0.992341), 'val_loss_entropy': np.float64(2.29501)}}
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2024-10-14 19:11:51,968 (server:353) INFO: Server: Starting evaluation at the end of round 60.
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2024-10-14 19:11:51,969 (server:359) INFO: ----------- Starting a new training round (Round #61) -------------
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2024-10-14 19:13:44,672 (client:354) INFO: {'Role': 'Client #6', 'Round': 61, 'Results_raw': {'train_loss': 11.794094, 'val_loss': 12.608449, 'test_loss': 12.946101}}
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2024-10-14 19:14:26,547 (client:354) INFO: {'Role': 'Client #2', 'Round': 61, 'Results_raw': {'train_loss': 15.465271, 'val_loss': 16.415392, 'test_loss': 16.249238}}
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2024-10-14 19:15:09,895 (client:354) INFO: {'Role': 'Client #8', 'Round': 61, 'Results_raw': {'train_loss': 14.066084, 'val_loss': 14.950844, 'test_loss': 13.740991}}
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2024-10-14 19:15:52,767 (client:354) INFO: {'Role': 'Client #4', 'Round': 61, 'Results_raw': {'train_loss': 14.489884, 'val_loss': 13.654754, 'test_loss': 14.197038}}
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2024-10-14 19:16:34,450 (client:354) INFO: {'Role': 'Client #5', 'Round': 61, 'Results_raw': {'train_loss': 11.648794, 'val_loss': 11.522722, 'test_loss': 11.803963}}
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2024-10-14 19:17:15,781 (client:354) INFO: {'Role': 'Client #7', 'Round': 61, 'Results_raw': {'train_loss': 11.214699, 'val_loss': 11.370152, 'test_loss': 10.688546}}
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2024-10-14 19:17:57,133 (client:354) INFO: {'Role': 'Client #9', 'Round': 61, 'Results_raw': {'train_loss': 14.91255, 'val_loss': 16.198704, 'test_loss': 14.6798}}
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2024-10-14 19:18:38,901 (client:354) INFO: {'Role': 'Client #10', 'Round': 61, 'Results_raw': {'train_loss': 13.870513, 'val_loss': 13.852093, 'test_loss': 14.392875}}
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2024-10-14 19:19:21,260 (client:354) INFO: {'Role': 'Client #1', 'Round': 61, 'Results_raw': {'train_loss': 19.639526, 'val_loss': 19.631208, 'test_loss': 20.034584}}
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2024-10-14 19:20:03,714 (client:354) INFO: {'Role': 'Client #3', 'Round': 61, 'Results_raw': {'train_loss': 17.40514, 'val_loss': 17.595718, 'test_loss': 17.74979}}
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2024-10-14 19:20:03,718 (server:615) INFO: {'Role': 'Server #', 'Round': 60, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.076875), 'test_loss': np.float64(70670.598712), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.688627), 'val_loss': np.float64(72823.967731), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.076875), 'test_loss': np.float64(70670.598712), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.688627), 'val_loss': np.float64(72823.967731), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.729448), 'test_avg_loss_bottom_decile': np.float64(17.113522), 'test_avg_loss_top_decile': np.float64(26.230059), 'test_avg_loss_min': np.float64(16.838132), 'test_avg_loss_max': np.float64(26.230059), 'test_avg_loss_bottom10%': np.float64(16.838132), 'test_avg_loss_top10%': np.float64(26.230059), 'test_avg_loss_cos1': np.float64(0.990885), 'test_avg_loss_entropy': np.float64(2.293627), 'test_loss_std': np.float64(9607.656333), 'test_loss_bottom_decile': np.float64(60239.59613), 'test_loss_top_decile': np.float64(92329.807251), 'test_loss_min': np.float64(59270.224915), 'test_loss_max': np.float64(92329.807251), 'test_loss_bottom10%': np.float64(59270.224915), 'test_loss_top10%': np.float64(92329.807251), 'test_loss_cos1': np.float64(0.990885), 'test_loss_entropy': np.float64(2.293627), 'val_avg_loss_std': np.float64(2.635337), 'val_avg_loss_bottom_decile': np.float64(17.753808), 'val_avg_loss_top_decile': np.float64(26.423669), 'val_avg_loss_min': np.float64(17.601214), 'val_avg_loss_max': np.float64(26.423669), 'val_avg_loss_bottom10%': np.float64(17.601214), 'val_avg_loss_top10%': np.float64(26.423669), 'val_avg_loss_cos1': np.float64(0.991984), 'val_avg_loss_entropy': np.float64(2.294666), 'val_loss_std': np.float64(9276.385796), 'val_loss_bottom_decile': np.float64(62493.403809), 'val_loss_top_decile': np.float64(93011.313538), 'val_loss_min': np.float64(61956.273865), 'val_loss_max': np.float64(93011.313538), 'val_loss_bottom10%': np.float64(61956.273865), 'val_loss_top10%': np.float64(93011.313538), 'val_loss_cos1': np.float64(0.991984), 'val_loss_entropy': np.float64(2.294666)}}
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2024-10-14 19:20:03,755 (server:353) INFO: Server: Starting evaluation at the end of round 61.
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2024-10-14 19:20:03,755 (server:359) INFO: ----------- Starting a new training round (Round #62) -------------
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2024-10-14 19:21:53,522 (client:354) INFO: {'Role': 'Client #4', 'Round': 62, 'Results_raw': {'train_loss': 14.405792, 'val_loss': 13.332431, 'test_loss': 13.725779}}
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2024-10-14 19:22:36,591 (client:354) INFO: {'Role': 'Client #8', 'Round': 62, 'Results_raw': {'train_loss': 14.034904, 'val_loss': 15.215352, 'test_loss': 13.732733}}
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2024-10-14 19:23:19,326 (client:354) INFO: {'Role': 'Client #3', 'Round': 62, 'Results_raw': {'train_loss': 17.401069, 'val_loss': 17.681783, 'test_loss': 17.916082}}
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2024-10-14 19:24:00,349 (client:354) INFO: {'Role': 'Client #10', 'Round': 62, 'Results_raw': {'train_loss': 13.826193, 'val_loss': 13.814128, 'test_loss': 14.477753}}
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2024-10-14 19:24:39,417 (client:354) INFO: {'Role': 'Client #2', 'Round': 62, 'Results_raw': {'train_loss': 15.404053, 'val_loss': 16.443848, 'test_loss': 16.324106}}
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2024-10-14 19:25:23,400 (client:354) INFO: {'Role': 'Client #6', 'Round': 62, 'Results_raw': {'train_loss': 11.743556, 'val_loss': 12.567078, 'test_loss': 12.921441}}
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2024-10-14 19:26:01,446 (client:354) INFO: {'Role': 'Client #9', 'Round': 62, 'Results_raw': {'train_loss': 14.928857, 'val_loss': 16.264959, 'test_loss': 14.845517}}
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2024-10-14 19:26:44,093 (client:354) INFO: {'Role': 'Client #5', 'Round': 62, 'Results_raw': {'train_loss': 11.644653, 'val_loss': 11.543322, 'test_loss': 11.77832}}
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2024-10-14 19:27:26,029 (client:354) INFO: {'Role': 'Client #7', 'Round': 62, 'Results_raw': {'train_loss': 11.191851, 'val_loss': 11.407683, 'test_loss': 10.734113}}
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2024-10-14 19:28:07,301 (client:354) INFO: {'Role': 'Client #1', 'Round': 62, 'Results_raw': {'train_loss': 19.599351, 'val_loss': 19.439555, 'test_loss': 19.823797}}
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2024-10-14 19:28:07,307 (server:615) INFO: {'Role': 'Server #', 'Round': 61, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.913627), 'test_loss': np.float64(70095.965875), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.525094), 'val_loss': np.float64(72248.332312), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.913627), 'test_loss': np.float64(70095.965875), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.525094), 'val_loss': np.float64(72248.332312), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.662442), 'test_avg_loss_bottom_decile': np.float64(16.887655), 'test_avg_loss_top_decile': np.float64(25.91385), 'test_avg_loss_min': np.float64(16.776571), 'test_avg_loss_max': np.float64(25.91385), 'test_avg_loss_bottom10%': np.float64(16.776571), 'test_avg_loss_top10%': np.float64(25.91385), 'test_avg_loss_cos1': np.float64(0.99118), 'test_avg_loss_entropy': np.float64(2.293915), 'test_loss_std': np.float64(9371.796253), 'test_loss_bottom_decile': np.float64(59444.545532), 'test_loss_top_decile': np.float64(91216.752502), 'test_loss_min': np.float64(59053.528198), 'test_loss_max': np.float64(91216.752502), 'test_loss_bottom10%': np.float64(59053.528198), 'test_loss_top10%': np.float64(91216.752502), 'test_loss_cos1': np.float64(0.99118), 'test_loss_entropy': np.float64(2.293915), 'val_avg_loss_std': np.float64(2.55908), 'val_avg_loss_bottom_decile': np.float64(17.549161), 'val_avg_loss_top_decile': np.float64(26.098474), 'val_avg_loss_min': np.float64(17.512309), 'val_avg_loss_max': np.float64(26.098474), 'val_avg_loss_bottom10%': np.float64(17.512309), 'val_avg_loss_top10%': np.float64(26.098474), 'val_avg_loss_cos1': np.float64(0.992317), 'val_avg_loss_entropy': np.float64(2.294991), 'val_loss_std': np.float64(9007.963097), 'val_loss_bottom_decile': np.float64(61773.046204), 'val_loss_top_decile': np.float64(91866.629333), 'val_loss_min': np.float64(61643.327576), 'val_loss_max': np.float64(91866.629333), 'val_loss_bottom10%': np.float64(61643.327576), 'val_loss_top10%': np.float64(91866.629333), 'val_loss_cos1': np.float64(0.992317), 'val_loss_entropy': np.float64(2.294991)}}
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2024-10-14 19:28:07,355 (server:353) INFO: Server: Starting evaluation at the end of round 62.
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2024-10-14 19:28:07,355 (server:359) INFO: ----------- Starting a new training round (Round #63) -------------
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2024-10-14 19:30:00,683 (client:354) INFO: {'Role': 'Client #8', 'Round': 63, 'Results_raw': {'train_loss': 14.124891, 'val_loss': 14.698202, 'test_loss': 13.337377}}
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2024-10-14 19:30:43,305 (client:354) INFO: {'Role': 'Client #3', 'Round': 63, 'Results_raw': {'train_loss': 17.38773, 'val_loss': 17.56681, 'test_loss': 17.78913}}
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2024-10-14 19:31:23,164 (client:354) INFO: {'Role': 'Client #10', 'Round': 63, 'Results_raw': {'train_loss': 13.819545, 'val_loss': 13.94997, 'test_loss': 14.437643}}
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2024-10-14 19:32:05,750 (client:354) INFO: {'Role': 'Client #1', 'Round': 63, 'Results_raw': {'train_loss': 19.550793, 'val_loss': 19.315117, 'test_loss': 19.718392}}
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2024-10-14 19:32:48,267 (client:354) INFO: {'Role': 'Client #9', 'Round': 63, 'Results_raw': {'train_loss': 14.822254, 'val_loss': 16.149025, 'test_loss': 14.635267}}
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2024-10-14 19:33:29,454 (client:354) INFO: {'Role': 'Client #7', 'Round': 63, 'Results_raw': {'train_loss': 11.133, 'val_loss': 11.348388, 'test_loss': 10.655064}}
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2024-10-14 19:34:10,356 (client:354) INFO: {'Role': 'Client #4', 'Round': 63, 'Results_raw': {'train_loss': 14.422809, 'val_loss': 13.667904, 'test_loss': 14.16457}}
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2024-10-14 19:34:52,008 (client:354) INFO: {'Role': 'Client #5', 'Round': 63, 'Results_raw': {'train_loss': 11.617574, 'val_loss': 11.655639, 'test_loss': 11.819185}}
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2024-10-14 19:35:32,494 (client:354) INFO: {'Role': 'Client #2', 'Round': 63, 'Results_raw': {'train_loss': 15.449881, 'val_loss': 16.361416, 'test_loss': 16.256045}}
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2024-10-14 19:36:15,875 (client:354) INFO: {'Role': 'Client #6', 'Round': 63, 'Results_raw': {'train_loss': 11.764245, 'val_loss': 12.59803, 'test_loss': 12.851905}}
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2024-10-14 19:36:15,880 (server:615) INFO: {'Role': 'Server #', 'Round': 62, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.015073), 'test_loss': np.float64(70453.055377), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.627362), 'val_loss': np.float64(72608.312958), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.015073), 'test_loss': np.float64(70453.055377), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.627362), 'val_loss': np.float64(72608.312958), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.712459), 'test_avg_loss_bottom_decile': np.float64(16.934693), 'test_avg_loss_top_decile': np.float64(26.079081), 'test_avg_loss_min': np.float64(16.736645), 'test_avg_loss_max': np.float64(26.079081), 'test_avg_loss_bottom10%': np.float64(16.736645), 'test_avg_loss_top10%': np.float64(26.079081), 'test_avg_loss_cos1': np.float64(0.990942), 'test_avg_loss_entropy': np.float64(2.293665), 'test_loss_std': np.float64(9547.857295), 'test_loss_bottom_decile': np.float64(59610.118713), 'test_loss_top_decile': np.float64(91798.365173), 'test_loss_min': np.float64(58912.991699), 'test_loss_max': np.float64(91798.365173), 'test_loss_bottom10%': np.float64(58912.991699), 'test_loss_top10%': np.float64(91798.365173), 'test_loss_cos1': np.float64(0.990942), 'test_loss_entropy': np.float64(2.293665), 'val_avg_loss_std': np.float64(2.615531), 'val_avg_loss_bottom_decile': np.float64(17.562038), 'val_avg_loss_top_decile': np.float64(26.257791), 'val_avg_loss_min': np.float64(17.498401), 'val_avg_loss_max': np.float64(26.257791), 'val_avg_loss_bottom10%': np.float64(17.498401), 'val_avg_loss_top10%': np.float64(26.257791), 'val_avg_loss_cos1': np.float64(0.992057), 'val_avg_loss_entropy': np.float64(2.29472), 'val_loss_std': np.float64(9206.669655), 'val_loss_bottom_decile': np.float64(61818.372131), 'val_loss_top_decile': np.float64(92427.42572), 'val_loss_min': np.float64(61594.371704), 'val_loss_max': np.float64(92427.42572), 'val_loss_bottom10%': np.float64(61594.371704), 'val_loss_top10%': np.float64(92427.42572), 'val_loss_cos1': np.float64(0.992057), 'val_loss_entropy': np.float64(2.29472)}}
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2024-10-14 19:36:15,925 (server:353) INFO: Server: Starting evaluation at the end of round 63.
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2024-10-14 19:36:15,925 (server:359) INFO: ----------- Starting a new training round (Round #64) -------------
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2024-10-14 19:38:02,898 (client:354) INFO: {'Role': 'Client #10', 'Round': 64, 'Results_raw': {'train_loss': 13.740067, 'val_loss': 13.767708, 'test_loss': 14.373514}}
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2024-10-14 19:38:45,093 (client:354) INFO: {'Role': 'Client #9', 'Round': 64, 'Results_raw': {'train_loss': 14.847026, 'val_loss': 15.93665, 'test_loss': 14.540995}}
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2024-10-14 19:39:26,438 (client:354) INFO: {'Role': 'Client #1', 'Round': 64, 'Results_raw': {'train_loss': 19.590468, 'val_loss': 19.409276, 'test_loss': 19.808409}}
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2024-10-14 19:40:04,472 (client:354) INFO: {'Role': 'Client #5', 'Round': 64, 'Results_raw': {'train_loss': 11.612007, 'val_loss': 11.576688, 'test_loss': 11.760239}}
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2024-10-14 19:40:44,630 (client:354) INFO: {'Role': 'Client #2', 'Round': 64, 'Results_raw': {'train_loss': 15.453192, 'val_loss': 16.358615, 'test_loss': 16.201474}}
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2024-10-14 19:41:24,622 (client:354) INFO: {'Role': 'Client #7', 'Round': 64, 'Results_raw': {'train_loss': 11.179204, 'val_loss': 11.365728, 'test_loss': 10.755998}}
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2024-10-14 19:42:06,462 (client:354) INFO: {'Role': 'Client #6', 'Round': 64, 'Results_raw': {'train_loss': 11.774034, 'val_loss': 12.518721, 'test_loss': 12.739419}}
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2024-10-14 19:42:47,295 (client:354) INFO: {'Role': 'Client #8', 'Round': 64, 'Results_raw': {'train_loss': 14.070668, 'val_loss': 14.875424, 'test_loss': 13.425452}}
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2024-10-14 19:43:29,423 (client:354) INFO: {'Role': 'Client #3', 'Round': 64, 'Results_raw': {'train_loss': 17.361097, 'val_loss': 17.658283, 'test_loss': 17.849381}}
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2024-10-14 19:44:10,532 (client:354) INFO: {'Role': 'Client #4', 'Round': 64, 'Results_raw': {'train_loss': 14.412547, 'val_loss': 13.460941, 'test_loss': 13.828515}}
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2024-10-14 19:44:10,537 (server:615) INFO: {'Role': 'Server #', 'Round': 63, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.924614), 'test_loss': np.float64(70134.6396), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.532788), 'val_loss': np.float64(72275.414612), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.924614), 'test_loss': np.float64(70134.6396), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.532788), 'val_loss': np.float64(72275.414612), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.68738), 'test_avg_loss_bottom_decile': np.float64(16.922516), 'test_avg_loss_top_decile': np.float64(25.933577), 'test_avg_loss_min': np.float64(16.678509), 'test_avg_loss_max': np.float64(25.933577), 'test_avg_loss_bottom10%': np.float64(16.678509), 'test_avg_loss_top10%': np.float64(25.933577), 'test_avg_loss_cos1': np.float64(0.991026), 'test_avg_loss_entropy': np.float64(2.293751), 'test_loss_std': np.float64(9459.5768), 'test_loss_bottom_decile': np.float64(59567.258057), 'test_loss_top_decile': np.float64(91286.192505), 'test_loss_min': np.float64(58708.352417), 'test_loss_max': np.float64(91286.192505), 'test_loss_bottom10%': np.float64(58708.352417), 'test_loss_top10%': np.float64(91286.192505), 'test_loss_cos1': np.float64(0.991026), 'test_loss_entropy': np.float64(2.293751), 'val_avg_loss_std': np.float64(2.588468), 'val_avg_loss_bottom_decile': np.float64(17.566876), 'val_avg_loss_top_decile': np.float64(26.133246), 'val_avg_loss_min': np.float64(17.430295), 'val_avg_loss_max': np.float64(26.133246), 'val_avg_loss_bottom10%': np.float64(17.430295), 'val_avg_loss_top10%': np.float64(26.133246), 'val_avg_loss_cos1': np.float64(0.992147), 'val_avg_loss_entropy': np.float64(2.294816), 'val_loss_std': np.float64(9111.408087), 'val_loss_bottom_decile': np.float64(61835.403992), 'val_loss_top_decile': np.float64(91989.026245), 'val_loss_min': np.float64(61354.63678), 'val_loss_max': np.float64(91989.026245), 'val_loss_bottom10%': np.float64(61354.63678), 'val_loss_top10%': np.float64(91989.026245), 'val_loss_cos1': np.float64(0.992147), 'val_loss_entropy': np.float64(2.294816)}}
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2024-10-14 19:44:10,584 (server:353) INFO: Server: Starting evaluation at the end of round 64.
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2024-10-14 19:44:10,585 (server:359) INFO: ----------- Starting a new training round (Round #65) -------------
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2024-10-14 19:45:57,433 (client:354) INFO: {'Role': 'Client #2', 'Round': 65, 'Results_raw': {'train_loss': 15.437514, 'val_loss': 16.43912, 'test_loss': 16.296955}}
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2024-10-14 19:46:39,086 (client:354) INFO: {'Role': 'Client #5', 'Round': 65, 'Results_raw': {'train_loss': 11.626415, 'val_loss': 11.677095, 'test_loss': 11.897427}}
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2024-10-14 19:47:19,105 (client:354) INFO: {'Role': 'Client #10', 'Round': 65, 'Results_raw': {'train_loss': 13.731778, 'val_loss': 14.063509, 'test_loss': 14.704535}}
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2024-10-14 19:47:57,703 (client:354) INFO: {'Role': 'Client #1', 'Round': 65, 'Results_raw': {'train_loss': 19.538603, 'val_loss': 19.587343, 'test_loss': 19.979599}}
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2024-10-14 19:48:41,443 (client:354) INFO: {'Role': 'Client #7', 'Round': 65, 'Results_raw': {'train_loss': 11.157751, 'val_loss': 11.301374, 'test_loss': 10.653883}}
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2024-10-14 19:49:23,766 (client:354) INFO: {'Role': 'Client #3', 'Round': 65, 'Results_raw': {'train_loss': 17.360765, 'val_loss': 17.462809, 'test_loss': 17.64454}}
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2024-10-14 19:50:05,981 (client:354) INFO: {'Role': 'Client #9', 'Round': 65, 'Results_raw': {'train_loss': 14.764864, 'val_loss': 16.184447, 'test_loss': 14.725968}}
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2024-10-14 19:50:44,656 (client:354) INFO: {'Role': 'Client #8', 'Round': 65, 'Results_raw': {'train_loss': 14.061118, 'val_loss': 14.52311, 'test_loss': 13.303837}}
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2024-10-14 19:51:27,145 (client:354) INFO: {'Role': 'Client #4', 'Round': 65, 'Results_raw': {'train_loss': 14.41763, 'val_loss': 13.494559, 'test_loss': 13.910962}}
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2024-10-14 19:52:08,599 (client:354) INFO: {'Role': 'Client #6', 'Round': 65, 'Results_raw': {'train_loss': 11.747998, 'val_loss': 12.525024, 'test_loss': 12.732107}}
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2024-10-14 19:52:08,604 (server:615) INFO: {'Role': 'Server #', 'Round': 64, 'Results_weighted_avg': {'test_avg_loss': np.float64(20.020511), 'test_loss': np.float64(70472.19798), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.633749), 'val_loss': np.float64(72630.796582), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(20.020511), 'test_loss': np.float64(70472.19798), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.633749), 'val_loss': np.float64(72630.796582), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.743907), 'test_avg_loss_bottom_decile': np.float64(17.041251), 'test_avg_loss_top_decile': np.float64(26.199584), 'test_avg_loss_min': np.float64(16.703531), 'test_avg_loss_max': np.float64(26.199584), 'test_avg_loss_bottom10%': np.float64(16.703531), 'test_avg_loss_top10%': np.float64(26.199584), 'test_avg_loss_cos1': np.float64(0.990738), 'test_avg_loss_entropy': np.float64(2.293472), 'test_loss_std': np.float64(9658.551253), 'test_loss_bottom_decile': np.float64(59985.20459), 'test_loss_top_decile': np.float64(92222.536621), 'test_loss_min': np.float64(58796.428955), 'test_loss_max': np.float64(92222.536621), 'test_loss_bottom10%': np.float64(58796.428955), 'test_loss_top10%': np.float64(92222.536621), 'test_loss_cos1': np.float64(0.990738), 'test_loss_entropy': np.float64(2.293472), 'val_avg_loss_std': np.float64(2.660826), 'val_avg_loss_bottom_decile': np.float64(17.639303), 'val_avg_loss_top_decile': np.float64(26.403375), 'val_avg_loss_min': np.float64(17.46753), 'val_avg_loss_max': np.float64(26.403375), 'val_avg_loss_bottom10%': np.float64(17.46753), 'val_avg_loss_top10%': np.float64(26.403375), 'val_avg_loss_cos1': np.float64(0.991788), 'val_avg_loss_entropy': np.float64(2.294462), 'val_loss_std': np.float64(9366.1066), 'val_loss_bottom_decile': np.float64(62090.345825), 'val_loss_top_decile': np.float64(92939.881653), 'val_loss_min': np.float64(61485.706909), 'val_loss_max': np.float64(92939.881653), 'val_loss_bottom10%': np.float64(61485.706909), 'val_loss_top10%': np.float64(92939.881653), 'val_loss_cos1': np.float64(0.991788), 'val_loss_entropy': np.float64(2.294462)}}
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2024-10-14 19:52:08,647 (server:353) INFO: Server: Starting evaluation at the end of round 65.
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2024-10-14 19:52:08,647 (server:359) INFO: ----------- Starting a new training round (Round #66) -------------
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2024-10-14 19:53:57,531 (client:354) INFO: {'Role': 'Client #4', 'Round': 66, 'Results_raw': {'train_loss': 14.419786, 'val_loss': 13.642891, 'test_loss': 14.063377}}
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2024-10-14 19:54:36,541 (client:354) INFO: {'Role': 'Client #6', 'Round': 66, 'Results_raw': {'train_loss': 11.747979, 'val_loss': 12.693656, 'test_loss': 13.041674}}
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2024-10-14 19:55:18,262 (client:354) INFO: {'Role': 'Client #9', 'Round': 66, 'Results_raw': {'train_loss': 14.770372, 'val_loss': 16.349543, 'test_loss': 14.635654}}
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2024-10-14 19:55:58,189 (client:354) INFO: {'Role': 'Client #5', 'Round': 66, 'Results_raw': {'train_loss': 11.642011, 'val_loss': 11.554581, 'test_loss': 11.755058}}
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2024-10-14 19:56:38,735 (client:354) INFO: {'Role': 'Client #2', 'Round': 66, 'Results_raw': {'train_loss': 15.387787, 'val_loss': 16.210788, 'test_loss': 16.145107}}
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2024-10-14 19:57:20,643 (client:354) INFO: {'Role': 'Client #10', 'Round': 66, 'Results_raw': {'train_loss': 13.749064, 'val_loss': 13.753066, 'test_loss': 14.303855}}
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2024-10-14 19:58:09,265 (client:354) INFO: {'Role': 'Client #8', 'Round': 66, 'Results_raw': {'train_loss': 14.009098, 'val_loss': 14.656178, 'test_loss': 13.272313}}
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2024-10-14 19:58:50,238 (client:354) INFO: {'Role': 'Client #1', 'Round': 66, 'Results_raw': {'train_loss': 19.573927, 'val_loss': 19.412531, 'test_loss': 19.879705}}
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2024-10-14 19:59:32,756 (client:354) INFO: {'Role': 'Client #7', 'Round': 66, 'Results_raw': {'train_loss': 11.180154, 'val_loss': 11.545262, 'test_loss': 10.91476}}
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2024-10-14 20:00:14,927 (client:354) INFO: {'Role': 'Client #3', 'Round': 66, 'Results_raw': {'train_loss': 17.368405, 'val_loss': 17.659092, 'test_loss': 17.7826}}
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2024-10-14 20:00:14,931 (server:615) INFO: {'Role': 'Server #', 'Round': 65, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.890822), 'test_loss': np.float64(70015.694897), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.495851), 'val_loss': np.float64(72145.397028), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.890822), 'test_loss': np.float64(70015.694897), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.495851), 'val_loss': np.float64(72145.397028), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.734879), 'test_avg_loss_bottom_decile': np.float64(16.962092), 'test_avg_loss_top_decile': np.float64(26.005524), 'test_avg_loss_min': np.float64(16.578087), 'test_avg_loss_max': np.float64(26.005524), 'test_avg_loss_bottom10%': np.float64(16.578087), 'test_avg_loss_top10%': np.float64(26.005524), 'test_avg_loss_cos1': np.float64(0.99068), 'test_avg_loss_entropy': np.float64(2.293408), 'test_loss_std': np.float64(9626.772748), 'test_loss_bottom_decile': np.float64(59706.562622), 'test_loss_top_decile': np.float64(91539.445007), 'test_loss_min': np.float64(58354.866028), 'test_loss_max': np.float64(91539.445007), 'test_loss_bottom10%': np.float64(58354.866028), 'test_loss_top10%': np.float64(91539.445007), 'test_loss_cos1': np.float64(0.99068), 'test_loss_entropy': np.float64(2.293408), 'val_avg_loss_std': np.float64(2.639617), 'val_avg_loss_bottom_decile': np.float64(17.558277), 'val_avg_loss_top_decile': np.float64(26.203955), 'val_avg_loss_min': np.float64(17.335152), 'val_avg_loss_max': np.float64(26.203955), 'val_avg_loss_bottom10%': np.float64(17.335152), 'val_avg_loss_top10%': np.float64(26.203955), 'val_avg_loss_cos1': np.float64(0.991809), 'val_avg_loss_entropy': np.float64(2.29448), 'val_loss_std': np.float64(9291.450188), 'val_loss_bottom_decile': np.float64(61805.134399), 'val_loss_top_decile': np.float64(92237.922668), 'val_loss_min': np.float64(61019.734741), 'val_loss_max': np.float64(92237.922668), 'val_loss_bottom10%': np.float64(61019.734741), 'val_loss_top10%': np.float64(92237.922668), 'val_loss_cos1': np.float64(0.991809), 'val_loss_entropy': np.float64(2.29448)}}
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2024-10-14 20:00:14,973 (server:353) INFO: Server: Starting evaluation at the end of round 66.
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2024-10-14 20:00:14,973 (server:359) INFO: ----------- Starting a new training round (Round #67) -------------
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2024-10-14 20:02:05,643 (client:354) INFO: {'Role': 'Client #3', 'Round': 67, 'Results_raw': {'train_loss': 17.393337, 'val_loss': 17.702288, 'test_loss': 17.834842}}
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2024-10-14 20:02:43,265 (client:354) INFO: {'Role': 'Client #9', 'Round': 67, 'Results_raw': {'train_loss': 14.773124, 'val_loss': 16.06698, 'test_loss': 14.563648}}
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2024-10-14 20:03:23,376 (client:354) INFO: {'Role': 'Client #5', 'Round': 67, 'Results_raw': {'train_loss': 11.591765, 'val_loss': 11.890961, 'test_loss': 11.885864}}
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2024-10-14 20:04:04,707 (client:354) INFO: {'Role': 'Client #7', 'Round': 67, 'Results_raw': {'train_loss': 11.117978, 'val_loss': 11.407051, 'test_loss': 10.740999}}
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2024-10-14 20:04:47,057 (client:354) INFO: {'Role': 'Client #4', 'Round': 67, 'Results_raw': {'train_loss': 14.409662, 'val_loss': 13.536611, 'test_loss': 14.047647}}
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2024-10-14 20:05:29,451 (client:354) INFO: {'Role': 'Client #1', 'Round': 67, 'Results_raw': {'train_loss': 19.475631, 'val_loss': 19.391211, 'test_loss': 19.753023}}
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2024-10-14 20:06:12,095 (client:354) INFO: {'Role': 'Client #6', 'Round': 67, 'Results_raw': {'train_loss': 11.76646, 'val_loss': 12.662762, 'test_loss': 13.131131}}
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2024-10-14 20:06:55,444 (client:354) INFO: {'Role': 'Client #10', 'Round': 67, 'Results_raw': {'train_loss': 13.752025, 'val_loss': 14.110651, 'test_loss': 14.627683}}
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2024-10-14 20:07:37,982 (client:354) INFO: {'Role': 'Client #2', 'Round': 67, 'Results_raw': {'train_loss': 15.428322, 'val_loss': 16.274273, 'test_loss': 16.157556}}
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2024-10-14 20:08:20,797 (client:354) INFO: {'Role': 'Client #8', 'Round': 67, 'Results_raw': {'train_loss': 14.04261, 'val_loss': 14.535169, 'test_loss': 13.279071}}
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2024-10-14 20:08:20,801 (server:615) INFO: {'Role': 'Server #', 'Round': 66, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.881513), 'test_loss': np.float64(69982.926385), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.480486), 'val_loss': np.float64(72091.312152), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.881513), 'test_loss': np.float64(69982.926385), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.480486), 'val_loss': np.float64(72091.312152), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.639878), 'test_avg_loss_bottom_decile': np.float64(16.885698), 'test_avg_loss_top_decile': np.float64(25.850129), 'test_avg_loss_min': np.float64(16.846555), 'test_avg_loss_max': np.float64(25.850129), 'test_avg_loss_bottom10%': np.float64(16.846555), 'test_avg_loss_top10%': np.float64(25.850129), 'test_avg_loss_cos1': np.float64(0.9913), 'test_avg_loss_entropy': np.float64(2.294041), 'test_loss_std': np.float64(9292.371919), 'test_loss_bottom_decile': np.float64(59437.657471), 'test_loss_top_decile': np.float64(90992.455688), 'test_loss_min': np.float64(59299.874695), 'test_loss_max': np.float64(90992.455688), 'test_loss_bottom10%': np.float64(59299.874695), 'test_loss_top10%': np.float64(90992.455688), 'test_loss_cos1': np.float64(0.9913), 'test_loss_entropy': np.float64(2.294041), 'val_avg_loss_std': np.float64(2.537815), 'val_avg_loss_bottom_decile': np.float64(17.648431), 'val_avg_loss_top_decile': np.float64(26.025344), 'val_avg_loss_min': np.float64(17.452777), 'val_avg_loss_max': np.float64(26.025344), 'val_avg_loss_bottom10%': np.float64(17.452777), 'val_avg_loss_top10%': np.float64(26.025344), 'val_avg_loss_cos1': np.float64(0.99241), 'val_avg_loss_entropy': np.float64(2.295088), 'val_loss_std': np.float64(8933.109123), 'val_loss_bottom_decile': np.float64(62122.477112), 'val_loss_top_decile': np.float64(91609.210571), 'val_loss_min': np.float64(61433.774048), 'val_loss_max': np.float64(91609.210571), 'val_loss_bottom10%': np.float64(61433.774048), 'val_loss_top10%': np.float64(91609.210571), 'val_loss_cos1': np.float64(0.99241), 'val_loss_entropy': np.float64(2.295088)}}
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2024-10-14 20:08:20,842 (server:353) INFO: Server: Starting evaluation at the end of round 67.
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2024-10-14 20:08:20,843 (server:359) INFO: ----------- Starting a new training round (Round #68) -------------
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2024-10-14 20:10:12,027 (client:354) INFO: {'Role': 'Client #9', 'Round': 68, 'Results_raw': {'train_loss': 14.694288, 'val_loss': 16.452715, 'test_loss': 14.699378}}
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2024-10-14 20:10:52,422 (client:354) INFO: {'Role': 'Client #2', 'Round': 68, 'Results_raw': {'train_loss': 15.398544, 'val_loss': 16.370353, 'test_loss': 16.273377}}
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2024-10-14 20:11:34,408 (client:354) INFO: {'Role': 'Client #5', 'Round': 68, 'Results_raw': {'train_loss': 11.649977, 'val_loss': 11.426306, 'test_loss': 11.471846}}
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2024-10-14 20:12:14,733 (client:354) INFO: {'Role': 'Client #1', 'Round': 68, 'Results_raw': {'train_loss': 19.502661, 'val_loss': 19.342156, 'test_loss': 19.76691}}
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2024-10-14 20:12:59,854 (client:354) INFO: {'Role': 'Client #10', 'Round': 68, 'Results_raw': {'train_loss': 13.721584, 'val_loss': 13.900169, 'test_loss': 14.418668}}
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2024-10-14 20:13:41,844 (client:354) INFO: {'Role': 'Client #4', 'Round': 68, 'Results_raw': {'train_loss': 14.3955, 'val_loss': 13.431961, 'test_loss': 13.916888}}
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2024-10-14 20:14:25,362 (client:354) INFO: {'Role': 'Client #3', 'Round': 68, 'Results_raw': {'train_loss': 17.346831, 'val_loss': 17.491961, 'test_loss': 17.681863}}
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2024-10-14 20:15:07,257 (client:354) INFO: {'Role': 'Client #7', 'Round': 68, 'Results_raw': {'train_loss': 11.107457, 'val_loss': 11.440288, 'test_loss': 10.79633}}
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2024-10-14 20:15:50,539 (client:354) INFO: {'Role': 'Client #8', 'Round': 68, 'Results_raw': {'train_loss': 14.018837, 'val_loss': 14.859874, 'test_loss': 13.613218}}
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2024-10-14 20:16:30,828 (client:354) INFO: {'Role': 'Client #6', 'Round': 68, 'Results_raw': {'train_loss': 11.731079, 'val_loss': 12.566627, 'test_loss': 13.129064}}
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2024-10-14 20:16:30,833 (server:615) INFO: {'Role': 'Server #', 'Round': 67, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.898732), 'test_loss': np.float64(70043.538037), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.500219), 'val_loss': np.float64(72160.771417), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.898732), 'test_loss': np.float64(70043.538037), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.500219), 'val_loss': np.float64(72160.771417), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.647844), 'test_avg_loss_bottom_decile': np.float64(16.912182), 'test_avg_loss_top_decile': np.float64(25.962503), 'test_avg_loss_min': np.float64(16.844864), 'test_avg_loss_max': np.float64(25.962503), 'test_avg_loss_bottom10%': np.float64(16.844864), 'test_avg_loss_top10%': np.float64(25.962503), 'test_avg_loss_cos1': np.float64(0.991263), 'test_avg_loss_entropy': np.float64(2.294023), 'test_loss_std': np.float64(9320.412141), 'test_loss_bottom_decile': np.float64(59530.881653), 'test_loss_top_decile': np.float64(91388.010681), 'test_loss_min': np.float64(59293.921448), 'test_loss_max': np.float64(91388.010681), 'test_loss_bottom10%': np.float64(59293.921448), 'test_loss_top10%': np.float64(91388.010681), 'test_loss_cos1': np.float64(0.991263), 'test_loss_entropy': np.float64(2.294023), 'val_avg_loss_std': np.float64(2.543454), 'val_avg_loss_bottom_decile': np.float64(17.668039), 'val_avg_loss_top_decile': np.float64(26.139907), 'val_avg_loss_min': np.float64(17.452176), 'val_avg_loss_max': np.float64(26.139907), 'val_avg_loss_bottom10%': np.float64(17.452176), 'val_avg_loss_top10%': np.float64(26.139907), 'val_avg_loss_cos1': np.float64(0.992391), 'val_avg_loss_entropy': np.float64(2.295084), 'val_loss_std': np.float64(8952.957402), 'val_loss_bottom_decile': np.float64(62191.49884), 'val_loss_top_decile': np.float64(92012.47229), 'val_loss_min': np.float64(61431.659546), 'val_loss_max': np.float64(92012.47229), 'val_loss_bottom10%': np.float64(61431.659546), 'val_loss_top10%': np.float64(92012.47229), 'val_loss_cos1': np.float64(0.992391), 'val_loss_entropy': np.float64(2.295084)}}
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2024-10-14 20:16:30,875 (server:353) INFO: Server: Starting evaluation at the end of round 68.
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2024-10-14 20:16:30,876 (server:359) INFO: ----------- Starting a new training round (Round #69) -------------
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2024-10-14 20:18:20,379 (client:354) INFO: {'Role': 'Client #10', 'Round': 69, 'Results_raw': {'train_loss': 13.660634, 'val_loss': 13.846096, 'test_loss': 14.529606}}
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2024-10-14 20:19:02,585 (client:354) INFO: {'Role': 'Client #8', 'Round': 69, 'Results_raw': {'train_loss': 13.987478, 'val_loss': 14.630582, 'test_loss': 13.31706}}
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2024-10-14 20:19:43,323 (client:354) INFO: {'Role': 'Client #6', 'Round': 69, 'Results_raw': {'train_loss': 11.730327, 'val_loss': 12.664334, 'test_loss': 13.056239}}
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2024-10-14 20:20:24,891 (client:354) INFO: {'Role': 'Client #5', 'Round': 69, 'Results_raw': {'train_loss': 11.602519, 'val_loss': 11.495563, 'test_loss': 11.779277}}
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2024-10-14 20:21:05,505 (client:354) INFO: {'Role': 'Client #9', 'Round': 69, 'Results_raw': {'train_loss': 14.741712, 'val_loss': 16.040724, 'test_loss': 14.600192}}
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2024-10-14 20:21:46,401 (client:354) INFO: {'Role': 'Client #7', 'Round': 69, 'Results_raw': {'train_loss': 11.125338, 'val_loss': 11.446399, 'test_loss': 10.771318}}
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2024-10-14 20:22:27,936 (client:354) INFO: {'Role': 'Client #2', 'Round': 69, 'Results_raw': {'train_loss': 15.381123, 'val_loss': 16.356733, 'test_loss': 16.166905}}
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2024-10-14 20:23:09,914 (client:354) INFO: {'Role': 'Client #4', 'Round': 69, 'Results_raw': {'train_loss': 14.366756, 'val_loss': 13.520209, 'test_loss': 14.132544}}
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2024-10-14 20:23:50,404 (client:354) INFO: {'Role': 'Client #1', 'Round': 69, 'Results_raw': {'train_loss': 19.465711, 'val_loss': 19.374783, 'test_loss': 19.735418}}
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2024-10-14 20:24:31,095 (client:354) INFO: {'Role': 'Client #3', 'Round': 69, 'Results_raw': {'train_loss': 17.380557, 'val_loss': 17.674235, 'test_loss': 17.857372}}
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2024-10-14 20:24:31,099 (server:615) INFO: {'Role': 'Server #', 'Round': 68, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.955177), 'test_loss': np.float64(70242.223767), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.553196), 'val_loss': np.float64(72347.24931), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.955177), 'test_loss': np.float64(70242.223767), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.553196), 'val_loss': np.float64(72347.24931), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.690804), 'test_avg_loss_bottom_decile': np.float64(16.878893), 'test_avg_loss_top_decile': np.float64(26.032971), 'test_avg_loss_min': np.float64(16.834195), 'test_avg_loss_max': np.float64(26.032971), 'test_avg_loss_bottom10%': np.float64(16.834195), 'test_avg_loss_top10%': np.float64(26.032971), 'test_avg_loss_cos1': np.float64(0.991031), 'test_avg_loss_entropy': np.float64(2.293771), 'test_loss_std': np.float64(9471.631044), 'test_loss_bottom_decile': np.float64(59413.703979), 'test_loss_top_decile': np.float64(91636.057251), 'test_loss_min': np.float64(59256.364746), 'test_loss_max': np.float64(91636.057251), 'test_loss_bottom10%': np.float64(59256.364746), 'test_loss_top10%': np.float64(91636.057251), 'test_loss_cos1': np.float64(0.991031), 'test_loss_entropy': np.float64(2.293771), 'val_avg_loss_std': np.float64(2.602709), 'val_avg_loss_bottom_decile': np.float64(17.594679), 'val_avg_loss_top_decile': np.float64(26.218119), 'val_avg_loss_min': np.float64(17.485168), 'val_avg_loss_max': np.float64(26.218119), 'val_avg_loss_bottom10%': np.float64(17.485168), 'val_avg_loss_top10%': np.float64(26.218119), 'val_avg_loss_cos1': np.float64(0.992077), 'val_avg_loss_entropy': np.float64(2.294756), 'val_loss_std': np.float64(9161.536766), 'val_loss_bottom_decile': np.float64(61933.270508), 'val_loss_top_decile': np.float64(92287.778931), 'val_loss_min': np.float64(61547.791504), 'val_loss_max': np.float64(92287.778931), 'val_loss_bottom10%': np.float64(61547.791504), 'val_loss_top10%': np.float64(92287.778931), 'val_loss_cos1': np.float64(0.992077), 'val_loss_entropy': np.float64(2.294756)}}
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2024-10-14 20:24:31,142 (server:353) INFO: Server: Starting evaluation at the end of round 69.
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2024-10-14 20:24:31,143 (server:359) INFO: ----------- Starting a new training round (Round #70) -------------
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2024-10-14 20:26:17,447 (client:354) INFO: {'Role': 'Client #4', 'Round': 70, 'Results_raw': {'train_loss': 14.376662, 'val_loss': 13.373392, 'test_loss': 13.881712}}
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2024-10-14 20:26:59,028 (client:354) INFO: {'Role': 'Client #1', 'Round': 70, 'Results_raw': {'train_loss': 19.512576, 'val_loss': 19.399849, 'test_loss': 19.756371}}
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2024-10-14 20:27:38,518 (client:354) INFO: {'Role': 'Client #10', 'Round': 70, 'Results_raw': {'train_loss': 13.707616, 'val_loss': 13.874345, 'test_loss': 14.451602}}
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2024-10-14 20:28:19,459 (client:354) INFO: {'Role': 'Client #9', 'Round': 70, 'Results_raw': {'train_loss': 14.747169, 'val_loss': 16.283444, 'test_loss': 14.749456}}
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2024-10-14 20:29:00,352 (client:354) INFO: {'Role': 'Client #6', 'Round': 70, 'Results_raw': {'train_loss': 11.714957, 'val_loss': 12.555872, 'test_loss': 12.904845}}
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2024-10-14 20:29:39,706 (client:354) INFO: {'Role': 'Client #7', 'Round': 70, 'Results_raw': {'train_loss': 11.120485, 'val_loss': 11.405062, 'test_loss': 10.716583}}
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2024-10-14 20:30:21,387 (client:354) INFO: {'Role': 'Client #2', 'Round': 70, 'Results_raw': {'train_loss': 15.353051, 'val_loss': 16.348323, 'test_loss': 16.214534}}
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2024-10-14 20:31:04,788 (client:354) INFO: {'Role': 'Client #8', 'Round': 70, 'Results_raw': {'train_loss': 13.984557, 'val_loss': 14.602273, 'test_loss': 13.326607}}
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2024-10-14 20:31:47,149 (client:354) INFO: {'Role': 'Client #3', 'Round': 70, 'Results_raw': {'train_loss': 17.352624, 'val_loss': 17.522947, 'test_loss': 17.691929}}
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2024-10-14 20:32:29,152 (client:354) INFO: {'Role': 'Client #5', 'Round': 70, 'Results_raw': {'train_loss': 11.563113, 'val_loss': 11.527074, 'test_loss': 11.519213}}
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2024-10-14 20:32:29,156 (server:615) INFO: {'Role': 'Server #', 'Round': 69, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.893945), 'test_loss': np.float64(70026.687976), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.499099), 'val_loss': np.float64(72156.828027), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.893945), 'test_loss': np.float64(70026.687976), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.499099), 'val_loss': np.float64(72156.828027), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.668701), 'test_avg_loss_bottom_decile': np.float64(16.933389), 'test_avg_loss_top_decile': np.float64(25.996821), 'test_avg_loss_min': np.float64(16.829765), 'test_avg_loss_max': np.float64(25.996821), 'test_avg_loss_bottom10%': np.float64(16.829765), 'test_avg_loss_top10%': np.float64(25.996821), 'test_avg_loss_cos1': np.float64(0.991122), 'test_avg_loss_entropy': np.float64(2.293883), 'test_loss_std': np.float64(9393.826417), 'test_loss_bottom_decile': np.float64(59605.529114), 'test_loss_top_decile': np.float64(91508.811035), 'test_loss_min': np.float64(59240.771729), 'test_loss_max': np.float64(91508.811035), 'test_loss_bottom10%': np.float64(59240.771729), 'test_loss_top10%': np.float64(91508.811035), 'test_loss_cos1': np.float64(0.991122), 'test_loss_entropy': np.float64(2.293883), 'val_avg_loss_std': np.float64(2.583117), 'val_avg_loss_bottom_decile': np.float64(17.689695), 'val_avg_loss_top_decile': np.float64(26.219484), 'val_avg_loss_min': np.float64(17.443725), 'val_avg_loss_max': np.float64(26.219484), 'val_avg_loss_bottom10%': np.float64(17.443725), 'val_avg_loss_top10%': np.float64(26.219484), 'val_avg_loss_cos1': np.float64(0.992154), 'val_avg_loss_entropy': np.float64(2.294851), 'val_loss_std': np.float64(9092.570929), 'val_loss_bottom_decile': np.float64(62267.727966), 'val_loss_top_decile': np.float64(92292.584167), 'val_loss_min': np.float64(61401.911682), 'val_loss_max': np.float64(92292.584167), 'val_loss_bottom10%': np.float64(61401.911682), 'val_loss_top10%': np.float64(92292.584167), 'val_loss_cos1': np.float64(0.992154), 'val_loss_entropy': np.float64(2.294851)}}
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2024-10-14 20:32:29,195 (server:353) INFO: Server: Starting evaluation at the end of round 70.
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2024-10-14 20:32:29,196 (server:359) INFO: ----------- Starting a new training round (Round #71) -------------
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2024-10-14 20:34:18,274 (client:354) INFO: {'Role': 'Client #10', 'Round': 71, 'Results_raw': {'train_loss': 13.725452, 'val_loss': 13.783217, 'test_loss': 14.229746}}
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2024-10-14 20:35:00,079 (client:354) INFO: {'Role': 'Client #3', 'Round': 71, 'Results_raw': {'train_loss': 17.308949, 'val_loss': 17.597504, 'test_loss': 17.759049}}
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2024-10-14 20:35:42,731 (client:354) INFO: {'Role': 'Client #6', 'Round': 71, 'Results_raw': {'train_loss': 11.761584, 'val_loss': 12.553639, 'test_loss': 13.00404}}
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2024-10-14 20:36:25,139 (client:354) INFO: {'Role': 'Client #4', 'Round': 71, 'Results_raw': {'train_loss': 14.343929, 'val_loss': 13.420361, 'test_loss': 13.943966}}
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2024-10-14 20:37:13,568 (client:354) INFO: {'Role': 'Client #5', 'Round': 71, 'Results_raw': {'train_loss': 11.539158, 'val_loss': 11.555137, 'test_loss': 11.949008}}
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2024-10-14 20:37:53,761 (client:354) INFO: {'Role': 'Client #9', 'Round': 71, 'Results_raw': {'train_loss': 14.716461, 'val_loss': 16.652448, 'test_loss': 14.659419}}
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2024-10-14 20:38:34,963 (client:354) INFO: {'Role': 'Client #7', 'Round': 71, 'Results_raw': {'train_loss': 11.113642, 'val_loss': 11.367767, 'test_loss': 10.721811}}
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2024-10-14 20:39:18,374 (client:354) INFO: {'Role': 'Client #1', 'Round': 71, 'Results_raw': {'train_loss': 19.448146, 'val_loss': 19.350151, 'test_loss': 19.741686}}
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2024-10-14 20:40:00,651 (client:354) INFO: {'Role': 'Client #8', 'Round': 71, 'Results_raw': {'train_loss': 14.012268, 'val_loss': 14.595025, 'test_loss': 13.218973}}
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2024-10-14 20:40:42,366 (client:354) INFO: {'Role': 'Client #2', 'Round': 71, 'Results_raw': {'train_loss': 15.341091, 'val_loss': 16.407974, 'test_loss': 16.24006}}
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2024-10-14 20:40:42,370 (server:615) INFO: {'Role': 'Server #', 'Round': 70, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.82872), 'test_loss': np.float64(69797.095294), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.42176), 'val_loss': np.float64(71884.593719), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.82872), 'test_loss': np.float64(69797.095294), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.42176), 'val_loss': np.float64(71884.593719), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.694905), 'test_avg_loss_bottom_decile': np.float64(16.855217), 'test_avg_loss_top_decile': np.float64(25.916465), 'test_avg_loss_min': np.float64(16.637659), 'test_avg_loss_max': np.float64(25.916465), 'test_avg_loss_bottom10%': np.float64(16.637659), 'test_avg_loss_top10%': np.float64(25.916465), 'test_avg_loss_cos1': np.float64(0.99089), 'test_avg_loss_entropy': np.float64(2.293636), 'test_loss_std': np.float64(9486.066085), 'test_loss_bottom_decile': np.float64(59330.364441), 'test_loss_top_decile': np.float64(91225.955383), 'test_loss_min': np.float64(58564.56134), 'test_loss_max': np.float64(91225.955383), 'test_loss_bottom10%': np.float64(58564.56134), 'test_loss_top10%': np.float64(91225.955383), 'test_loss_cos1': np.float64(0.99089), 'test_loss_entropy': np.float64(2.293636), 'val_avg_loss_std': np.float64(2.60537), 'val_avg_loss_bottom_decile': np.float64(17.455205), 'val_avg_loss_top_decile': np.float64(26.118056), 'val_avg_loss_min': np.float64(17.3839), 'val_avg_loss_max': np.float64(26.118056), 'val_avg_loss_bottom10%': np.float64(17.3839), 'val_avg_loss_top10%': np.float64(26.118056), 'val_avg_loss_cos1': np.float64(0.99196), 'val_avg_loss_entropy': np.float64(2.294646), 'val_loss_std': np.float64(9170.903911), 'val_loss_bottom_decile': np.float64(61442.323181), 'val_loss_top_decile': np.float64(91935.557739), 'val_loss_min': np.float64(61191.327026), 'val_loss_max': np.float64(91935.557739), 'val_loss_bottom10%': np.float64(61191.327026), 'val_loss_top10%': np.float64(91935.557739), 'val_loss_cos1': np.float64(0.99196), 'val_loss_entropy': np.float64(2.294646)}}
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2024-10-14 20:40:42,407 (server:353) INFO: Server: Starting evaluation at the end of round 71.
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2024-10-14 20:40:42,407 (server:359) INFO: ----------- Starting a new training round (Round #72) -------------
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2024-10-14 20:42:34,649 (client:354) INFO: {'Role': 'Client #9', 'Round': 72, 'Results_raw': {'train_loss': 14.675003, 'val_loss': 16.07517, 'test_loss': 14.639285}}
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2024-10-14 20:43:17,102 (client:354) INFO: {'Role': 'Client #5', 'Round': 72, 'Results_raw': {'train_loss': 11.541085, 'val_loss': 11.484178, 'test_loss': 11.656533}}
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2024-10-14 20:43:59,564 (client:354) INFO: {'Role': 'Client #10', 'Round': 72, 'Results_raw': {'train_loss': 13.686608, 'val_loss': 13.91328, 'test_loss': 14.516674}}
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2024-10-14 20:44:40,670 (client:354) INFO: {'Role': 'Client #4', 'Round': 72, 'Results_raw': {'train_loss': 14.319624, 'val_loss': 13.325594, 'test_loss': 13.694701}}
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2024-10-14 20:45:21,893 (client:354) INFO: {'Role': 'Client #6', 'Round': 72, 'Results_raw': {'train_loss': 11.735397, 'val_loss': 12.560772, 'test_loss': 12.968303}}
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2024-10-14 20:46:03,703 (client:354) INFO: {'Role': 'Client #7', 'Round': 72, 'Results_raw': {'train_loss': 11.223897, 'val_loss': 11.410131, 'test_loss': 10.739798}}
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2024-10-14 20:46:44,566 (client:354) INFO: {'Role': 'Client #1', 'Round': 72, 'Results_raw': {'train_loss': 19.438502, 'val_loss': 19.310992, 'test_loss': 19.879435}}
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2024-10-14 20:47:24,721 (client:354) INFO: {'Role': 'Client #8', 'Round': 72, 'Results_raw': {'train_loss': 14.008774, 'val_loss': 14.671032, 'test_loss': 13.566981}}
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2024-10-14 20:48:06,866 (client:354) INFO: {'Role': 'Client #3', 'Round': 72, 'Results_raw': {'train_loss': 17.292125, 'val_loss': 17.585598, 'test_loss': 17.826264}}
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2024-10-14 20:48:47,543 (client:354) INFO: {'Role': 'Client #2', 'Round': 72, 'Results_raw': {'train_loss': 15.405001, 'val_loss': 16.373758, 'test_loss': 16.294154}}
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2024-10-14 20:48:47,546 (server:615) INFO: {'Role': 'Server #', 'Round': 71, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.86332), 'test_loss': np.float64(69918.88717), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.471046), 'val_loss': np.float64(72058.082129), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.86332), 'test_loss': np.float64(69918.88717), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.471046), 'val_loss': np.float64(72058.082129), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.7282), 'test_avg_loss_bottom_decile': np.float64(16.910928), 'test_avg_loss_top_decile': np.float64(25.982205), 'test_avg_loss_min': np.float64(16.558984), 'test_avg_loss_max': np.float64(25.982205), 'test_avg_loss_bottom10%': np.float64(16.558984), 'test_avg_loss_top10%': np.float64(25.982205), 'test_avg_loss_cos1': np.float64(0.990699), 'test_avg_loss_entropy': np.float64(2.293433), 'test_loss_std': np.float64(9603.262791), 'test_loss_bottom_decile': np.float64(59526.466431), 'test_loss_top_decile': np.float64(91457.362793), 'test_loss_min': np.float64(58287.622498), 'test_loss_max': np.float64(91457.362793), 'test_loss_bottom10%': np.float64(58287.622498), 'test_loss_top10%': np.float64(91457.362793), 'test_loss_cos1': np.float64(0.990699), 'test_loss_entropy': np.float64(2.293433), 'val_avg_loss_std': np.float64(2.639445), 'val_avg_loss_bottom_decile': np.float64(17.528407), 'val_avg_loss_top_decile': np.float64(26.185141), 'val_avg_loss_min': np.float64(17.315744), 'val_avg_loss_max': np.float64(26.185141), 'val_avg_loss_bottom10%': np.float64(17.315744), 'val_avg_loss_top10%': np.float64(26.185141), 'val_avg_loss_cos1': np.float64(0.99179), 'val_avg_loss_entropy': np.float64(2.294464), 'val_loss_std': np.float64(9290.847417), 'val_loss_bottom_decile': np.float64(61699.992737), 'val_loss_top_decile': np.float64(92171.695557), 'val_loss_min': np.float64(60951.420288), 'val_loss_max': np.float64(92171.695557), 'val_loss_bottom10%': np.float64(60951.420288), 'val_loss_top10%': np.float64(92171.695557), 'val_loss_cos1': np.float64(0.99179), 'val_loss_entropy': np.float64(2.294464)}}
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2024-10-14 20:48:47,578 (server:353) INFO: Server: Starting evaluation at the end of round 72.
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2024-10-14 20:48:47,578 (server:359) INFO: ----------- Starting a new training round (Round #73) -------------
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2024-10-14 20:50:39,070 (client:354) INFO: {'Role': 'Client #1', 'Round': 73, 'Results_raw': {'train_loss': 19.495804, 'val_loss': 19.32916, 'test_loss': 19.745729}}
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2024-10-14 20:51:18,913 (client:354) INFO: {'Role': 'Client #8', 'Round': 73, 'Results_raw': {'train_loss': 13.912334, 'val_loss': 14.413997, 'test_loss': 13.290513}}
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2024-10-14 20:52:00,646 (client:354) INFO: {'Role': 'Client #5', 'Round': 73, 'Results_raw': {'train_loss': 11.498807, 'val_loss': 11.487536, 'test_loss': 11.546852}}
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2024-10-14 20:52:42,776 (client:354) INFO: {'Role': 'Client #9', 'Round': 73, 'Results_raw': {'train_loss': 14.675001, 'val_loss': 16.034211, 'test_loss': 14.602747}}
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2024-10-14 20:53:25,078 (client:354) INFO: {'Role': 'Client #6', 'Round': 73, 'Results_raw': {'train_loss': 11.674694, 'val_loss': 12.643294, 'test_loss': 12.992912}}
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2024-10-14 20:54:06,595 (client:354) INFO: {'Role': 'Client #2', 'Round': 73, 'Results_raw': {'train_loss': 15.347482, 'val_loss': 16.292546, 'test_loss': 16.108824}}
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2024-10-14 20:54:46,592 (client:354) INFO: {'Role': 'Client #3', 'Round': 73, 'Results_raw': {'train_loss': 17.334192, 'val_loss': 17.546546, 'test_loss': 17.714093}}
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2024-10-14 20:55:27,393 (client:354) INFO: {'Role': 'Client #10', 'Round': 73, 'Results_raw': {'train_loss': 13.697829, 'val_loss': 13.790043, 'test_loss': 14.279636}}
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2024-10-14 20:56:10,064 (client:354) INFO: {'Role': 'Client #7', 'Round': 73, 'Results_raw': {'train_loss': 11.150241, 'val_loss': 11.681767, 'test_loss': 10.84576}}
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2024-10-14 20:56:48,718 (client:354) INFO: {'Role': 'Client #4', 'Round': 73, 'Results_raw': {'train_loss': 14.339023, 'val_loss': 13.720387, 'test_loss': 14.361524}}
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2024-10-14 20:56:48,724 (server:615) INFO: {'Role': 'Server #', 'Round': 72, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.86223), 'test_loss': np.float64(69915.048566), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.469655), 'val_loss': np.float64(72053.186938), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.86223), 'test_loss': np.float64(69915.048566), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.469655), 'val_loss': np.float64(72053.186938), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.693317), 'test_avg_loss_bottom_decile': np.float64(16.872167), 'test_avg_loss_top_decile': np.float64(25.955734), 'test_avg_loss_min': np.float64(16.610335), 'test_avg_loss_max': np.float64(25.955734), 'test_avg_loss_bottom10%': np.float64(16.610335), 'test_avg_loss_top10%': np.float64(25.955734), 'test_avg_loss_cos1': np.float64(0.990931), 'test_avg_loss_entropy': np.float64(2.29367), 'test_loss_std': np.float64(9480.476421), 'test_loss_bottom_decile': np.float64(59390.028748), 'test_loss_top_decile': np.float64(91364.182556), 'test_loss_min': np.float64(58468.38092), 'test_loss_max': np.float64(91364.182556), 'test_loss_bottom10%': np.float64(58468.38092), 'test_loss_top10%': np.float64(91364.182556), 'test_loss_cos1': np.float64(0.990931), 'test_loss_entropy': np.float64(2.29367), 'val_avg_loss_std': np.float64(2.612818), 'val_avg_loss_bottom_decile': np.float64(17.461448), 'val_avg_loss_top_decile': np.float64(26.159379), 'val_avg_loss_min': np.float64(17.347261), 'val_avg_loss_max': np.float64(26.159379), 'val_avg_loss_bottom10%': np.float64(17.347261), 'val_avg_loss_top10%': np.float64(26.159379), 'val_avg_loss_cos1': np.float64(0.991952), 'val_avg_loss_entropy': np.float64(2.294628), 'val_loss_std': np.float64(9197.118444), 'val_loss_bottom_decile': np.float64(61464.298706), 'val_loss_top_decile': np.float64(92081.01355), 'val_loss_min': np.float64(61062.358704), 'val_loss_max': np.float64(92081.01355), 'val_loss_bottom10%': np.float64(61062.358704), 'val_loss_top10%': np.float64(92081.01355), 'val_loss_cos1': np.float64(0.991952), 'val_loss_entropy': np.float64(2.294628)}}
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2024-10-14 20:56:48,765 (server:353) INFO: Server: Starting evaluation at the end of round 73.
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2024-10-14 20:56:48,765 (server:359) INFO: ----------- Starting a new training round (Round #74) -------------
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2024-10-14 20:58:38,490 (client:354) INFO: {'Role': 'Client #4', 'Round': 74, 'Results_raw': {'train_loss': 14.310871, 'val_loss': 13.542797, 'test_loss': 14.234373}}
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2024-10-14 20:59:20,366 (client:354) INFO: {'Role': 'Client #8', 'Round': 74, 'Results_raw': {'train_loss': 13.890159, 'val_loss': 14.522108, 'test_loss': 13.504595}}
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2024-10-14 20:59:59,631 (client:354) INFO: {'Role': 'Client #5', 'Round': 74, 'Results_raw': {'train_loss': 11.56079, 'val_loss': 11.539597, 'test_loss': 11.489172}}
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2024-10-14 21:00:40,067 (client:354) INFO: {'Role': 'Client #6', 'Round': 74, 'Results_raw': {'train_loss': 11.681664, 'val_loss': 12.480173, 'test_loss': 12.881461}}
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2024-10-14 21:01:21,813 (client:354) INFO: {'Role': 'Client #3', 'Round': 74, 'Results_raw': {'train_loss': 17.276413, 'val_loss': 17.451066, 'test_loss': 17.674321}}
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2024-10-14 21:02:07,450 (client:354) INFO: {'Role': 'Client #9', 'Round': 74, 'Results_raw': {'train_loss': 14.718524, 'val_loss': 16.206196, 'test_loss': 14.796458}}
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2024-10-14 21:02:49,886 (client:354) INFO: {'Role': 'Client #1', 'Round': 74, 'Results_raw': {'train_loss': 19.436408, 'val_loss': 19.375291, 'test_loss': 19.774194}}
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2024-10-14 21:03:34,681 (client:354) INFO: {'Role': 'Client #10', 'Round': 74, 'Results_raw': {'train_loss': 13.653916, 'val_loss': 14.053294, 'test_loss': 14.491279}}
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2024-10-14 21:04:15,842 (client:354) INFO: {'Role': 'Client #2', 'Round': 74, 'Results_raw': {'train_loss': 15.309174, 'val_loss': 16.255715, 'test_loss': 16.185457}}
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2024-10-14 21:04:56,961 (client:354) INFO: {'Role': 'Client #7', 'Round': 74, 'Results_raw': {'train_loss': 11.062447, 'val_loss': 11.450458, 'test_loss': 10.725263}}
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2024-10-14 21:04:56,965 (server:615) INFO: {'Role': 'Server #', 'Round': 73, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.809026), 'test_loss': np.float64(69727.771539), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.407875), 'val_loss': np.float64(71835.72124), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.809026), 'test_loss': np.float64(69727.771539), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.407875), 'val_loss': np.float64(71835.72124), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.681556), 'test_avg_loss_bottom_decile': np.float64(16.771312), 'test_avg_loss_top_decile': np.float64(25.895523), 'test_avg_loss_min': np.float64(16.67518), 'test_avg_loss_max': np.float64(25.895523), 'test_avg_loss_bottom10%': np.float64(16.67518), 'test_avg_loss_top10%': np.float64(25.895523), 'test_avg_loss_cos1': np.float64(0.990961), 'test_avg_loss_entropy': np.float64(2.293714), 'test_loss_std': np.float64(9439.077657), 'test_loss_bottom_decile': np.float64(59035.018494), 'test_loss_top_decile': np.float64(91152.240723), 'test_loss_min': np.float64(58696.63208), 'test_loss_max': np.float64(91152.240723), 'test_loss_bottom10%': np.float64(58696.63208), 'test_loss_top10%': np.float64(91152.240723), 'test_loss_cos1': np.float64(0.990961), 'test_loss_entropy': np.float64(2.293714), 'val_avg_loss_std': np.float64(2.58759), 'val_avg_loss_bottom_decile': np.float64(17.41456), 'val_avg_loss_top_decile': np.float64(26.063521), 'val_avg_loss_min': np.float64(17.389592), 'val_avg_loss_max': np.float64(26.063521), 'val_avg_loss_bottom10%': np.float64(17.389592), 'val_avg_loss_top10%': np.float64(26.063521), 'val_avg_loss_cos1': np.float64(0.992057), 'val_avg_loss_entropy': np.float64(2.294742), 'val_loss_std': np.float64(9108.315418), 'val_loss_bottom_decile': np.float64(61299.251282), 'val_loss_top_decile': np.float64(91743.594238), 'val_loss_min': np.float64(61211.362732), 'val_loss_max': np.float64(91743.594238), 'val_loss_bottom10%': np.float64(61211.362732), 'val_loss_top10%': np.float64(91743.594238), 'val_loss_cos1': np.float64(0.992057), 'val_loss_entropy': np.float64(2.294742)}}
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2024-10-14 21:04:57,017 (server:353) INFO: Server: Starting evaluation at the end of round 74.
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2024-10-14 21:04:57,018 (server:359) INFO: ----------- Starting a new training round (Round #75) -------------
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2024-10-14 21:06:57,523 (client:354) INFO: {'Role': 'Client #6', 'Round': 75, 'Results_raw': {'train_loss': 11.69262, 'val_loss': 12.703293, 'test_loss': 12.954935}}
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2024-10-14 21:07:37,233 (client:354) INFO: {'Role': 'Client #7', 'Round': 75, 'Results_raw': {'train_loss': 11.073879, 'val_loss': 11.314969, 'test_loss': 10.620234}}
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2024-10-14 21:08:18,286 (client:354) INFO: {'Role': 'Client #4', 'Round': 75, 'Results_raw': {'train_loss': 14.355608, 'val_loss': 13.517854, 'test_loss': 14.11233}}
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2024-10-14 21:09:00,980 (client:354) INFO: {'Role': 'Client #9', 'Round': 75, 'Results_raw': {'train_loss': 14.642325, 'val_loss': 16.039231, 'test_loss': 14.614876}}
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2024-10-14 21:09:42,568 (client:354) INFO: {'Role': 'Client #8', 'Round': 75, 'Results_raw': {'train_loss': 13.889503, 'val_loss': 14.739945, 'test_loss': 13.450767}}
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2024-10-14 21:10:25,735 (client:354) INFO: {'Role': 'Client #10', 'Round': 75, 'Results_raw': {'train_loss': 13.645344, 'val_loss': 13.847138, 'test_loss': 14.505714}}
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2024-10-14 21:11:09,955 (client:354) INFO: {'Role': 'Client #2', 'Round': 75, 'Results_raw': {'train_loss': 15.304856, 'val_loss': 16.396463, 'test_loss': 16.189317}}
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2024-10-14 21:11:48,146 (client:354) INFO: {'Role': 'Client #3', 'Round': 75, 'Results_raw': {'train_loss': 17.258126, 'val_loss': 17.544397, 'test_loss': 17.665431}}
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2024-10-14 21:12:28,735 (client:354) INFO: {'Role': 'Client #5', 'Round': 75, 'Results_raw': {'train_loss': 11.536116, 'val_loss': 11.54504, 'test_loss': 11.798451}}
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2024-10-14 21:13:09,284 (client:354) INFO: {'Role': 'Client #1', 'Round': 75, 'Results_raw': {'train_loss': 19.449049, 'val_loss': 19.240555, 'test_loss': 19.682311}}
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2024-10-14 21:13:09,289 (server:615) INFO: {'Role': 'Server #', 'Round': 74, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.847322), 'test_loss': np.float64(69862.573285), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.453508), 'val_loss': np.float64(71996.348322), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.847322), 'test_loss': np.float64(69862.573285), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.453508), 'val_loss': np.float64(71996.348322), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.660992), 'test_avg_loss_bottom_decile': np.float64(16.850443), 'test_avg_loss_top_decile': np.float64(25.859845), 'test_avg_loss_min': np.float64(16.809018), 'test_avg_loss_max': np.float64(25.859845), 'test_avg_loss_bottom10%': np.float64(16.809018), 'test_avg_loss_top10%': np.float64(25.859845), 'test_avg_loss_cos1': np.float64(0.991132), 'test_avg_loss_entropy': np.float64(2.293875), 'test_loss_std': np.float64(9366.692126), 'test_loss_bottom_decile': np.float64(59313.559387), 'test_loss_top_decile': np.float64(91026.654297), 'test_loss_min': np.float64(59167.743713), 'test_loss_max': np.float64(91026.654297), 'test_loss_bottom10%': np.float64(59167.743713), 'test_loss_top10%': np.float64(91026.654297), 'test_loss_cos1': np.float64(0.991132), 'test_loss_entropy': np.float64(2.293875), 'val_avg_loss_std': np.float64(2.570606), 'val_avg_loss_bottom_decile': np.float64(17.536552), 'val_avg_loss_top_decile': np.float64(26.05469), 'val_avg_loss_min': np.float64(17.460552), 'val_avg_loss_max': np.float64(26.05469), 'val_avg_loss_bottom10%': np.float64(17.460552), 'val_avg_loss_top10%': np.float64(26.05469), 'val_avg_loss_cos1': np.float64(0.992195), 'val_avg_loss_entropy': np.float64(2.294874), 'val_loss_std': np.float64(9048.531907), 'val_loss_bottom_decile': np.float64(61728.663635), 'val_loss_top_decile': np.float64(91712.509949), 'val_loss_min': np.float64(61461.144287), 'val_loss_max': np.float64(91712.509949), 'val_loss_bottom10%': np.float64(61461.144287), 'val_loss_top10%': np.float64(91712.509949), 'val_loss_cos1': np.float64(0.992195), 'val_loss_entropy': np.float64(2.294874)}}
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2024-10-14 21:13:09,334 (server:353) INFO: Server: Starting evaluation at the end of round 75.
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2024-10-14 21:13:09,334 (server:359) INFO: ----------- Starting a new training round (Round #76) -------------
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2024-10-14 21:15:02,565 (client:354) INFO: {'Role': 'Client #5', 'Round': 76, 'Results_raw': {'train_loss': 11.493903, 'val_loss': 11.399782, 'test_loss': 11.462618}}
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2024-10-14 21:15:41,228 (client:354) INFO: {'Role': 'Client #2', 'Round': 76, 'Results_raw': {'train_loss': 15.291851, 'val_loss': 16.278075, 'test_loss': 16.180073}}
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2024-10-14 21:16:22,419 (client:354) INFO: {'Role': 'Client #9', 'Round': 76, 'Results_raw': {'train_loss': 14.718289, 'val_loss': 16.426241, 'test_loss': 14.675507}}
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2024-10-14 21:17:01,704 (client:354) INFO: {'Role': 'Client #3', 'Round': 76, 'Results_raw': {'train_loss': 17.278051, 'val_loss': 17.606821, 'test_loss': 17.791993}}
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2024-10-14 21:17:41,724 (client:354) INFO: {'Role': 'Client #4', 'Round': 76, 'Results_raw': {'train_loss': 14.338109, 'val_loss': 13.458529, 'test_loss': 13.98852}}
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2024-10-14 21:18:22,842 (client:354) INFO: {'Role': 'Client #10', 'Round': 76, 'Results_raw': {'train_loss': 13.687815, 'val_loss': 13.823357, 'test_loss': 14.437788}}
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2024-10-14 21:19:03,897 (client:354) INFO: {'Role': 'Client #1', 'Round': 76, 'Results_raw': {'train_loss': 19.445176, 'val_loss': 19.389626, 'test_loss': 19.854853}}
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2024-10-14 21:19:45,614 (client:354) INFO: {'Role': 'Client #6', 'Round': 76, 'Results_raw': {'train_loss': 11.654576, 'val_loss': 12.474189, 'test_loss': 12.839028}}
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2024-10-14 21:20:26,988 (client:354) INFO: {'Role': 'Client #7', 'Round': 76, 'Results_raw': {'train_loss': 11.047501, 'val_loss': 11.291186, 'test_loss': 10.597205}}
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2024-10-14 21:21:11,531 (client:354) INFO: {'Role': 'Client #8', 'Round': 76, 'Results_raw': {'train_loss': 13.863622, 'val_loss': 14.698672, 'test_loss': 13.314993}}
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2024-10-14 21:21:11,534 (server:615) INFO: {'Role': 'Server #', 'Round': 75, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.813931), 'test_loss': np.float64(69745.038678), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.414023), 'val_loss': np.float64(71857.360492), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.813931), 'test_loss': np.float64(69745.038678), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.414023), 'val_loss': np.float64(71857.360492), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.688741), 'test_avg_loss_bottom_decile': np.float64(16.877909), 'test_avg_loss_top_decile': np.float64(25.897637), 'test_avg_loss_min': np.float64(16.647142), 'test_avg_loss_max': np.float64(25.897637), 'test_avg_loss_bottom10%': np.float64(16.647142), 'test_avg_loss_top10%': np.float64(25.897637), 'test_avg_loss_cos1': np.float64(0.990918), 'test_avg_loss_entropy': np.float64(2.293663), 'test_loss_std': np.float64(9464.36746), 'test_loss_bottom_decile': np.float64(59410.240845), 'test_loss_top_decile': np.float64(91159.682495), 'test_loss_min': np.float64(58597.940796), 'test_loss_max': np.float64(91159.682495), 'test_loss_bottom10%': np.float64(58597.940796), 'test_loss_top10%': np.float64(91159.682495), 'test_loss_cos1': np.float64(0.990918), 'test_loss_entropy': np.float64(2.293663), 'val_avg_loss_std': np.float64(2.596874), 'val_avg_loss_bottom_decile': np.float64(17.490505), 'val_avg_loss_top_decile': np.float64(26.074012), 'val_avg_loss_min': np.float64(17.375754), 'val_avg_loss_max': np.float64(26.074012), 'val_avg_loss_bottom10%': np.float64(17.375754), 'val_avg_loss_top10%': np.float64(26.074012), 'val_avg_loss_cos1': np.float64(0.992006), 'val_avg_loss_entropy': np.float64(2.294686), 'val_loss_std': np.float64(9140.995593), 'val_loss_bottom_decile': np.float64(61566.577271), 'val_loss_top_decile': np.float64(91780.52063), 'val_loss_min': np.float64(61162.653381), 'val_loss_max': np.float64(91780.52063), 'val_loss_bottom10%': np.float64(61162.653381), 'val_loss_top10%': np.float64(91780.52063), 'val_loss_cos1': np.float64(0.992006), 'val_loss_entropy': np.float64(2.294686)}}
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2024-10-14 21:21:11,576 (server:353) INFO: Server: Starting evaluation at the end of round 76.
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2024-10-14 21:21:11,577 (server:359) INFO: ----------- Starting a new training round (Round #77) -------------
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2024-10-14 21:22:59,729 (client:354) INFO: {'Role': 'Client #10', 'Round': 77, 'Results_raw': {'train_loss': 13.648264, 'val_loss': 13.951156, 'test_loss': 14.414601}}
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2024-10-14 21:23:39,744 (client:354) INFO: {'Role': 'Client #6', 'Round': 77, 'Results_raw': {'train_loss': 11.664999, 'val_loss': 12.483182, 'test_loss': 12.769728}}
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2024-10-14 21:24:20,184 (client:354) INFO: {'Role': 'Client #3', 'Round': 77, 'Results_raw': {'train_loss': 17.293646, 'val_loss': 17.547943, 'test_loss': 17.638326}}
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2024-10-14 21:25:03,678 (client:354) INFO: {'Role': 'Client #4', 'Round': 77, 'Results_raw': {'train_loss': 14.298405, 'val_loss': 13.290061, 'test_loss': 13.827708}}
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2024-10-14 21:25:47,926 (client:354) INFO: {'Role': 'Client #5', 'Round': 77, 'Results_raw': {'train_loss': 11.4962, 'val_loss': 11.579475, 'test_loss': 11.969217}}
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2024-10-14 21:26:28,852 (client:354) INFO: {'Role': 'Client #8', 'Round': 77, 'Results_raw': {'train_loss': 13.890575, 'val_loss': 14.500772, 'test_loss': 13.162411}}
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2024-10-14 21:27:12,630 (client:354) INFO: {'Role': 'Client #7', 'Round': 77, 'Results_raw': {'train_loss': 11.096362, 'val_loss': 11.562123, 'test_loss': 10.848236}}
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2024-10-14 21:27:51,499 (client:354) INFO: {'Role': 'Client #9', 'Round': 77, 'Results_raw': {'train_loss': 14.68749, 'val_loss': 16.282526, 'test_loss': 14.711945}}
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2024-10-14 21:28:30,806 (client:354) INFO: {'Role': 'Client #1', 'Round': 77, 'Results_raw': {'train_loss': 19.40999, 'val_loss': 19.381263, 'test_loss': 19.758618}}
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2024-10-14 21:29:12,320 (client:354) INFO: {'Role': 'Client #2', 'Round': 77, 'Results_raw': {'train_loss': 15.321318, 'val_loss': 16.459477, 'test_loss': 16.216428}}
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2024-10-14 21:29:12,326 (server:615) INFO: {'Role': 'Server #', 'Round': 76, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.864656), 'test_loss': np.float64(69923.587952), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.469409), 'val_loss': np.float64(72052.320099), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.864656), 'test_loss': np.float64(69923.587952), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.469409), 'val_loss': np.float64(72052.320099), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.698672), 'test_avg_loss_bottom_decile': np.float64(16.875604), 'test_avg_loss_top_decile': np.float64(25.944891), 'test_avg_loss_min': np.float64(16.716061), 'test_avg_loss_max': np.float64(25.944891), 'test_avg_loss_bottom10%': np.float64(16.716061), 'test_avg_loss_top10%': np.float64(25.944891), 'test_avg_loss_cos1': np.float64(0.990898), 'test_avg_loss_entropy': np.float64(2.293639), 'test_loss_std': np.float64(9499.324362), 'test_loss_bottom_decile': np.float64(59402.125244), 'test_loss_top_decile': np.float64(91326.015137), 'test_loss_min': np.float64(58840.53418), 'test_loss_max': np.float64(91326.015137), 'test_loss_bottom10%': np.float64(58840.53418), 'test_loss_top10%': np.float64(91326.015137), 'test_loss_cos1': np.float64(0.990898), 'test_loss_entropy': np.float64(2.293639), 'val_avg_loss_std': np.float64(2.60453), 'val_avg_loss_bottom_decile': np.float64(17.47792), 'val_avg_loss_top_decile': np.float64(26.112995), 'val_avg_loss_min': np.float64(17.471603), 'val_avg_loss_max': np.float64(26.112995), 'val_avg_loss_bottom10%': np.float64(17.471603), 'val_avg_loss_top10%': np.float64(26.112995), 'val_avg_loss_cos1': np.float64(0.992002), 'val_avg_loss_entropy': np.float64(2.294677), 'val_loss_std': np.float64(9167.94707), 'val_loss_bottom_decile': np.float64(61522.279724), 'val_loss_top_decile': np.float64(91917.741577), 'val_loss_min': np.float64(61500.042358), 'val_loss_max': np.float64(91917.741577), 'val_loss_bottom10%': np.float64(61500.042358), 'val_loss_top10%': np.float64(91917.741577), 'val_loss_cos1': np.float64(0.992002), 'val_loss_entropy': np.float64(2.294677)}}
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2024-10-14 21:29:12,376 (server:353) INFO: Server: Starting evaluation at the end of round 77.
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2024-10-14 21:29:12,377 (server:359) INFO: ----------- Starting a new training round (Round #78) -------------
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2024-10-14 21:31:07,456 (client:354) INFO: {'Role': 'Client #1', 'Round': 78, 'Results_raw': {'train_loss': 19.43081, 'val_loss': 19.337439, 'test_loss': 19.671927}}
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2024-10-14 21:31:48,811 (client:354) INFO: {'Role': 'Client #3', 'Round': 78, 'Results_raw': {'train_loss': 17.25549, 'val_loss': 17.525238, 'test_loss': 17.706654}}
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2024-10-14 21:32:31,051 (client:354) INFO: {'Role': 'Client #5', 'Round': 78, 'Results_raw': {'train_loss': 11.509247, 'val_loss': 11.671641, 'test_loss': 11.918141}}
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2024-10-14 21:33:12,933 (client:354) INFO: {'Role': 'Client #4', 'Round': 78, 'Results_raw': {'train_loss': 14.298297, 'val_loss': 13.454949, 'test_loss': 14.043288}}
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2024-10-14 21:33:58,634 (client:354) INFO: {'Role': 'Client #8', 'Round': 78, 'Results_raw': {'train_loss': 13.920578, 'val_loss': 14.474314, 'test_loss': 13.225418}}
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2024-10-14 21:34:41,759 (client:354) INFO: {'Role': 'Client #9', 'Round': 78, 'Results_raw': {'train_loss': 14.65418, 'val_loss': 16.139477, 'test_loss': 14.691959}}
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2024-10-14 21:35:24,226 (client:354) INFO: {'Role': 'Client #2', 'Round': 78, 'Results_raw': {'train_loss': 15.260449, 'val_loss': 16.207177, 'test_loss': 16.044358}}
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2024-10-14 21:36:05,301 (client:354) INFO: {'Role': 'Client #6', 'Round': 78, 'Results_raw': {'train_loss': 11.67694, 'val_loss': 12.472874, 'test_loss': 12.725566}}
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2024-10-14 21:36:47,652 (client:354) INFO: {'Role': 'Client #10', 'Round': 78, 'Results_raw': {'train_loss': 13.639832, 'val_loss': 13.781489, 'test_loss': 14.396875}}
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2024-10-14 21:37:29,170 (client:354) INFO: {'Role': 'Client #7', 'Round': 78, 'Results_raw': {'train_loss': 11.092219, 'val_loss': 11.423129, 'test_loss': 10.749707}}
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2024-10-14 21:37:29,173 (server:615) INFO: {'Role': 'Server #', 'Round': 77, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.649986), 'test_loss': np.float64(69167.951782), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.25586), 'val_loss': np.float64(71300.627893), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.649986), 'test_loss': np.float64(69167.951782), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.25586), 'val_loss': np.float64(71300.627893), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.686194), 'test_avg_loss_bottom_decile': np.float64(16.675924), 'test_avg_loss_top_decile': np.float64(25.744937), 'test_avg_loss_min': np.float64(16.568429), 'test_avg_loss_max': np.float64(25.744937), 'test_avg_loss_bottom10%': np.float64(16.568429), 'test_avg_loss_top10%': np.float64(25.744937), 'test_avg_loss_cos1': np.float64(0.990785), 'test_avg_loss_entropy': np.float64(2.29355), 'test_loss_std': np.float64(9455.401498), 'test_loss_bottom_decile': np.float64(58699.251404), 'test_loss_top_decile': np.float64(90622.177917), 'test_loss_min': np.float64(58320.871582), 'test_loss_max': np.float64(90622.177917), 'test_loss_bottom10%': np.float64(58320.871582), 'test_loss_top10%': np.float64(90622.177917), 'test_loss_cos1': np.float64(0.990785), 'test_loss_entropy': np.float64(2.29355), 'val_avg_loss_std': np.float64(2.5788), 'val_avg_loss_bottom_decile': np.float64(17.327289), 'val_avg_loss_top_decile': np.float64(25.935318), 'val_avg_loss_min': np.float64(17.285735), 'val_avg_loss_max': np.float64(25.935318), 'val_avg_loss_bottom10%': np.float64(17.285735), 'val_avg_loss_top10%': np.float64(25.935318), 'val_avg_loss_cos1': np.float64(0.991993), 'val_avg_loss_entropy': np.float64(2.294688), 'val_loss_std': np.float64(9077.377224), 'val_loss_bottom_decile': np.float64(60992.055664), 'val_loss_top_decile': np.float64(91292.318848), 'val_loss_min': np.float64(60845.785583), 'val_loss_max': np.float64(91292.318848), 'val_loss_bottom10%': np.float64(60845.785583), 'val_loss_top10%': np.float64(91292.318848), 'val_loss_cos1': np.float64(0.991993), 'val_loss_entropy': np.float64(2.294688)}}
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2024-10-14 21:37:29,206 (server:353) INFO: Server: Starting evaluation at the end of round 78.
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2024-10-14 21:37:29,206 (server:359) INFO: ----------- Starting a new training round (Round #79) -------------
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2024-10-14 21:39:15,861 (client:354) INFO: {'Role': 'Client #10', 'Round': 79, 'Results_raw': {'train_loss': 13.619169, 'val_loss': 13.772464, 'test_loss': 14.347752}}
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2024-10-14 21:39:58,004 (client:354) INFO: {'Role': 'Client #1', 'Round': 79, 'Results_raw': {'train_loss': 19.400328, 'val_loss': 19.496576, 'test_loss': 19.929992}}
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2024-10-14 21:40:41,315 (client:354) INFO: {'Role': 'Client #4', 'Round': 79, 'Results_raw': {'train_loss': 14.260148, 'val_loss': 13.316104, 'test_loss': 13.804241}}
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2024-10-14 21:41:24,124 (client:354) INFO: {'Role': 'Client #9', 'Round': 79, 'Results_raw': {'train_loss': 14.624429, 'val_loss': 16.10184, 'test_loss': 14.506245}}
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2024-10-14 21:42:02,709 (client:354) INFO: {'Role': 'Client #5', 'Round': 79, 'Results_raw': {'train_loss': 11.456256, 'val_loss': 11.543807, 'test_loss': 11.682261}}
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2024-10-14 21:42:40,423 (client:354) INFO: {'Role': 'Client #7', 'Round': 79, 'Results_raw': {'train_loss': 11.028957, 'val_loss': 11.301281, 'test_loss': 10.608214}}
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2024-10-14 21:43:20,893 (client:354) INFO: {'Role': 'Client #3', 'Round': 79, 'Results_raw': {'train_loss': 17.263693, 'val_loss': 17.722122, 'test_loss': 17.92877}}
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2024-10-14 21:44:03,806 (client:354) INFO: {'Role': 'Client #6', 'Round': 79, 'Results_raw': {'train_loss': 11.672594, 'val_loss': 12.5129, 'test_loss': 12.823364}}
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2024-10-14 21:44:46,952 (client:354) INFO: {'Role': 'Client #8', 'Round': 79, 'Results_raw': {'train_loss': 13.812595, 'val_loss': 14.553842, 'test_loss': 13.320428}}
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2024-10-14 21:45:28,913 (client:354) INFO: {'Role': 'Client #2', 'Round': 79, 'Results_raw': {'train_loss': 15.257872, 'val_loss': 16.171545, 'test_loss': 16.04795}}
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2024-10-14 21:45:28,918 (server:615) INFO: {'Role': 'Server #', 'Round': 78, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.742517), 'test_loss': np.float64(69493.658942), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.348499), 'val_loss': np.float64(71626.716949), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.742517), 'test_loss': np.float64(69493.658942), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.348499), 'val_loss': np.float64(71626.716949), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.701735), 'test_avg_loss_bottom_decile': np.float64(16.805369), 'test_avg_loss_top_decile': np.float64(25.777339), 'test_avg_loss_min': np.float64(16.471264), 'test_avg_loss_max': np.float64(25.777339), 'test_avg_loss_bottom10%': np.float64(16.471264), 'test_avg_loss_top10%': np.float64(25.777339), 'test_avg_loss_cos1': np.float64(0.990766), 'test_avg_loss_entropy': np.float64(2.293499), 'test_loss_std': np.float64(9510.106335), 'test_loss_bottom_decile': np.float64(59154.897827), 'test_loss_top_decile': np.float64(90736.234253), 'test_loss_min': np.float64(57978.850342), 'test_loss_max': np.float64(90736.234253), 'test_loss_bottom10%': np.float64(57978.850342), 'test_loss_top10%': np.float64(90736.234253), 'test_loss_cos1': np.float64(0.990766), 'test_loss_entropy': np.float64(2.293499), 'val_avg_loss_std': np.float64(2.621189), 'val_avg_loss_bottom_decile': np.float64(17.41714), 'val_avg_loss_top_decile': np.float64(25.997261), 'val_avg_loss_min': np.float64(17.209034), 'val_avg_loss_max': np.float64(25.997261), 'val_avg_loss_bottom10%': np.float64(17.209034), 'val_avg_loss_top10%': np.float64(25.997261), 'val_avg_loss_cos1': np.float64(0.991805), 'val_avg_loss_entropy': np.float64(2.294478), 'val_loss_std': np.float64(9226.58389), 'val_loss_bottom_decile': np.float64(61308.33429), 'val_loss_top_decile': np.float64(91510.360291), 'val_loss_min': np.float64(60575.799683), 'val_loss_max': np.float64(91510.360291), 'val_loss_bottom10%': np.float64(60575.799683), 'val_loss_top10%': np.float64(91510.360291), 'val_loss_cos1': np.float64(0.991805), 'val_loss_entropy': np.float64(2.294478)}}
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2024-10-14 21:45:28,957 (server:353) INFO: Server: Starting evaluation at the end of round 79.
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2024-10-14 21:45:28,958 (server:359) INFO: ----------- Starting a new training round (Round #80) -------------
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2024-10-14 21:47:22,212 (client:354) INFO: {'Role': 'Client #5', 'Round': 80, 'Results_raw': {'train_loss': 11.489377, 'val_loss': 11.581339, 'test_loss': 11.607415}}
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2024-10-14 21:48:03,558 (client:354) INFO: {'Role': 'Client #1', 'Round': 80, 'Results_raw': {'train_loss': 19.385709, 'val_loss': 19.503054, 'test_loss': 19.818591}}
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2024-10-14 21:48:46,116 (client:354) INFO: {'Role': 'Client #4', 'Round': 80, 'Results_raw': {'train_loss': 14.252715, 'val_loss': 13.405903, 'test_loss': 13.992934}}
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2024-10-14 21:49:27,299 (client:354) INFO: {'Role': 'Client #6', 'Round': 80, 'Results_raw': {'train_loss': 11.662647, 'val_loss': 12.417014, 'test_loss': 12.93008}}
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2024-10-14 21:50:06,929 (client:354) INFO: {'Role': 'Client #2', 'Round': 80, 'Results_raw': {'train_loss': 15.2551, 'val_loss': 16.314534, 'test_loss': 16.154263}}
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2024-10-14 21:50:48,087 (client:354) INFO: {'Role': 'Client #10', 'Round': 80, 'Results_raw': {'train_loss': 13.621115, 'val_loss': 13.571628, 'test_loss': 14.29468}}
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2024-10-14 21:51:28,618 (client:354) INFO: {'Role': 'Client #8', 'Round': 80, 'Results_raw': {'train_loss': 13.889208, 'val_loss': 14.732573, 'test_loss': 13.443409}}
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2024-10-14 21:52:12,733 (client:354) INFO: {'Role': 'Client #7', 'Round': 80, 'Results_raw': {'train_loss': 11.060819, 'val_loss': 11.334859, 'test_loss': 10.722218}}
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2024-10-14 21:52:52,764 (client:354) INFO: {'Role': 'Client #3', 'Round': 80, 'Results_raw': {'train_loss': 17.234722, 'val_loss': 17.585305, 'test_loss': 17.719138}}
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2024-10-14 21:53:35,557 (client:354) INFO: {'Role': 'Client #9', 'Round': 80, 'Results_raw': {'train_loss': 14.662013, 'val_loss': 15.879785, 'test_loss': 14.471728}}
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2024-10-14 21:53:35,561 (server:615) INFO: {'Role': 'Server #', 'Round': 79, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.761497), 'test_loss': np.float64(69560.470636), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.358806), 'val_loss': np.float64(71662.998254), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.761497), 'test_loss': np.float64(69560.470636), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.358806), 'val_loss': np.float64(71662.998254), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.694398), 'test_avg_loss_bottom_decile': np.float64(16.851076), 'test_avg_loss_top_decile': np.float64(25.836222), 'test_avg_loss_min': np.float64(16.62202), 'test_avg_loss_max': np.float64(25.836222), 'test_avg_loss_bottom10%': np.float64(16.62202), 'test_avg_loss_top10%': np.float64(25.836222), 'test_avg_loss_cos1': np.float64(0.990833), 'test_avg_loss_entropy': np.float64(2.293581), 'test_loss_std': np.float64(9484.279214), 'test_loss_bottom_decile': np.float64(59315.788574), 'test_loss_top_decile': np.float64(90943.502869), 'test_loss_min': np.float64(58509.509277), 'test_loss_max': np.float64(90943.502869), 'test_loss_bottom10%': np.float64(58509.509277), 'test_loss_top10%': np.float64(90943.502869), 'test_loss_cos1': np.float64(0.990833), 'test_loss_entropy': np.float64(2.293581), 'val_avg_loss_std': np.float64(2.593094), 'val_avg_loss_bottom_decile': np.float64(17.481436), 'val_avg_loss_top_decile': np.float64(26.007686), 'val_avg_loss_min': np.float64(17.368408), 'val_avg_loss_max': np.float64(26.007686), 'val_avg_loss_bottom10%': np.float64(17.368408), 'val_avg_loss_top10%': np.float64(26.007686), 'val_avg_loss_cos1': np.float64(0.991986), 'val_avg_loss_entropy': np.float64(2.294671), 'val_loss_std': np.float64(9127.691421), 'val_loss_bottom_decile': np.float64(61534.653381), 'val_loss_top_decile': np.float64(91547.053223), 'val_loss_min': np.float64(61136.797241), 'val_loss_max': np.float64(91547.053223), 'val_loss_bottom10%': np.float64(61136.797241), 'val_loss_top10%': np.float64(91547.053223), 'val_loss_cos1': np.float64(0.991986), 'val_loss_entropy': np.float64(2.294671)}}
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2024-10-14 21:53:35,597 (server:353) INFO: Server: Starting evaluation at the end of round 80.
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2024-10-14 21:53:35,598 (server:359) INFO: ----------- Starting a new training round (Round #81) -------------
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2024-10-14 21:55:23,870 (client:354) INFO: {'Role': 'Client #9', 'Round': 81, 'Results_raw': {'train_loss': 14.622384, 'val_loss': 16.18238, 'test_loss': 14.702}}
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2024-10-14 21:56:03,973 (client:354) INFO: {'Role': 'Client #6', 'Round': 81, 'Results_raw': {'train_loss': 11.662107, 'val_loss': 12.487631, 'test_loss': 13.014246}}
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2024-10-14 21:56:45,755 (client:354) INFO: {'Role': 'Client #2', 'Round': 81, 'Results_raw': {'train_loss': 15.285283, 'val_loss': 16.261472, 'test_loss': 16.142894}}
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2024-10-14 21:57:25,142 (client:354) INFO: {'Role': 'Client #8', 'Round': 81, 'Results_raw': {'train_loss': 13.904082, 'val_loss': 14.754913, 'test_loss': 13.251805}}
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2024-10-14 21:58:05,682 (client:354) INFO: {'Role': 'Client #3', 'Round': 81, 'Results_raw': {'train_loss': 17.225378, 'val_loss': 17.496861, 'test_loss': 17.564298}}
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2024-10-14 21:58:46,986 (client:354) INFO: {'Role': 'Client #5', 'Round': 81, 'Results_raw': {'train_loss': 11.463894, 'val_loss': 11.636197, 'test_loss': 11.891255}}
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2024-10-14 21:59:27,162 (client:354) INFO: {'Role': 'Client #10', 'Round': 81, 'Results_raw': {'train_loss': 13.598457, 'val_loss': 13.774502, 'test_loss': 14.303406}}
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2024-10-14 22:00:07,675 (client:354) INFO: {'Role': 'Client #1', 'Round': 81, 'Results_raw': {'train_loss': 19.378146, 'val_loss': 19.324189, 'test_loss': 19.645854}}
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2024-10-14 22:00:51,350 (client:354) INFO: {'Role': 'Client #4', 'Round': 81, 'Results_raw': {'train_loss': 14.298349, 'val_loss': 13.297377, 'test_loss': 13.802064}}
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2024-10-14 22:01:34,586 (client:354) INFO: {'Role': 'Client #7', 'Round': 81, 'Results_raw': {'train_loss': 11.042241, 'val_loss': 11.29127, 'test_loss': 10.619962}}
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2024-10-14 22:01:34,590 (server:615) INFO: {'Role': 'Server #', 'Round': 80, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.663725), 'test_loss': np.float64(69216.313098), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.260103), 'val_loss': np.float64(71315.562048), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.663725), 'test_loss': np.float64(69216.313098), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.260103), 'val_loss': np.float64(71315.562048), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.704758), 'test_avg_loss_bottom_decile': np.float64(16.770804), 'test_avg_loss_top_decile': np.float64(25.79803), 'test_avg_loss_min': np.float64(16.423715), 'test_avg_loss_max': np.float64(25.79803), 'test_avg_loss_bottom10%': np.float64(16.423715), 'test_avg_loss_top10%': np.float64(25.79803), 'test_avg_loss_cos1': np.float64(0.990672), 'test_avg_loss_entropy': np.float64(2.293428), 'test_loss_std': np.float64(9520.749844), 'test_loss_bottom_decile': np.float64(59033.231628), 'test_loss_top_decile': np.float64(90809.064758), 'test_loss_min': np.float64(57811.477234), 'test_loss_max': np.float64(90809.064758), 'test_loss_bottom10%': np.float64(57811.477234), 'test_loss_top10%': np.float64(90809.064758), 'test_loss_cos1': np.float64(0.990672), 'test_loss_entropy': np.float64(2.293428), 'val_avg_loss_std': np.float64(2.612724), 'val_avg_loss_bottom_decile': np.float64(17.378151), 'val_avg_loss_top_decile': np.float64(25.981344), 'val_avg_loss_min': np.float64(17.162578), 'val_avg_loss_max': np.float64(25.981344), 'val_avg_loss_bottom10%': np.float64(17.162578), 'val_avg_loss_top10%': np.float64(25.981344), 'val_avg_loss_cos1': np.float64(0.991787), 'val_avg_loss_entropy': np.float64(2.294476), 'val_loss_std': np.float64(9196.787319), 'val_loss_bottom_decile': np.float64(61171.090698), 'val_loss_top_decile': np.float64(91454.330139), 'val_loss_min': np.float64(60412.276062), 'val_loss_max': np.float64(91454.330139), 'val_loss_bottom10%': np.float64(60412.276062), 'val_loss_top10%': np.float64(91454.330139), 'val_loss_cos1': np.float64(0.991787), 'val_loss_entropy': np.float64(2.294476)}}
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2024-10-14 22:01:34,627 (server:353) INFO: Server: Starting evaluation at the end of round 81.
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2024-10-14 22:01:34,628 (server:359) INFO: ----------- Starting a new training round (Round #82) -------------
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2024-10-14 22:03:19,355 (client:354) INFO: {'Role': 'Client #10', 'Round': 82, 'Results_raw': {'train_loss': 13.620552, 'val_loss': 13.814638, 'test_loss': 14.402037}}
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2024-10-14 22:03:57,491 (client:354) INFO: {'Role': 'Client #1', 'Round': 82, 'Results_raw': {'train_loss': 19.353055, 'val_loss': 19.204161, 'test_loss': 19.591267}}
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2024-10-14 22:04:36,557 (client:354) INFO: {'Role': 'Client #7', 'Round': 82, 'Results_raw': {'train_loss': 11.009854, 'val_loss': 11.435024, 'test_loss': 10.734283}}
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2024-10-14 22:05:18,270 (client:354) INFO: {'Role': 'Client #3', 'Round': 82, 'Results_raw': {'train_loss': 17.221241, 'val_loss': 17.743146, 'test_loss': 17.95267}}
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2024-10-14 22:06:00,172 (client:354) INFO: {'Role': 'Client #6', 'Round': 82, 'Results_raw': {'train_loss': 11.655872, 'val_loss': 12.496588, 'test_loss': 12.839762}}
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2024-10-14 22:06:41,059 (client:354) INFO: {'Role': 'Client #4', 'Round': 82, 'Results_raw': {'train_loss': 14.255679, 'val_loss': 13.619799, 'test_loss': 14.37071}}
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2024-10-14 22:07:23,999 (client:354) INFO: {'Role': 'Client #8', 'Round': 82, 'Results_raw': {'train_loss': 13.908203, 'val_loss': 14.620492, 'test_loss': 13.325703}}
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2024-10-14 22:08:04,077 (client:354) INFO: {'Role': 'Client #5', 'Round': 82, 'Results_raw': {'train_loss': 11.437564, 'val_loss': 11.503763, 'test_loss': 11.486087}}
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2024-10-14 22:08:51,201 (client:354) INFO: {'Role': 'Client #9', 'Round': 82, 'Results_raw': {'train_loss': 14.625328, 'val_loss': 15.855215, 'test_loss': 14.5291}}
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2024-10-14 22:09:32,850 (client:354) INFO: {'Role': 'Client #2', 'Round': 82, 'Results_raw': {'train_loss': 15.354209, 'val_loss': 16.252353, 'test_loss': 16.181195}}
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2024-10-14 22:09:32,855 (server:615) INFO: {'Role': 'Server #', 'Round': 81, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.72732), 'test_loss': np.float64(69440.164838), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.323272), 'val_loss': np.float64(71537.918433), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.72732), 'test_loss': np.float64(69440.164838), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.323272), 'val_loss': np.float64(71537.918433), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.705649), 'test_avg_loss_bottom_decile': np.float64(16.757821), 'test_avg_loss_top_decile': np.float64(25.850598), 'test_avg_loss_min': np.float64(16.597274), 'test_avg_loss_max': np.float64(25.850598), 'test_avg_loss_bottom10%': np.float64(16.597274), 'test_avg_loss_top10%': np.float64(25.850598), 'test_avg_loss_cos1': np.float64(0.990725), 'test_avg_loss_entropy': np.float64(2.29348), 'test_loss_std': np.float64(9523.883215), 'test_loss_bottom_decile': np.float64(58987.53009), 'test_loss_top_decile': np.float64(90994.104858), 'test_loss_min': np.float64(58422.404541), 'test_loss_max': np.float64(90994.104858), 'test_loss_bottom10%': np.float64(58422.404541), 'test_loss_top10%': np.float64(90994.104858), 'test_loss_cos1': np.float64(0.990725), 'test_loss_entropy': np.float64(2.29348), 'val_avg_loss_std': np.float64(2.625465), 'val_avg_loss_bottom_decile': np.float64(17.349562), 'val_avg_loss_top_decile': np.float64(26.056854), 'val_avg_loss_min': np.float64(17.348734), 'val_avg_loss_max': np.float64(26.056854), 'val_avg_loss_bottom10%': np.float64(17.348734), 'val_avg_loss_top10%': np.float64(26.056854), 'val_avg_loss_cos1': np.float64(0.991759), 'val_avg_loss_entropy': np.float64(2.294448), 'val_loss_std': np.float64(9241.635243), 'val_loss_bottom_decile': np.float64(61070.457031), 'val_loss_top_decile': np.float64(91720.125), 'val_loss_min': np.float64(61067.541931), 'val_loss_max': np.float64(91720.125), 'val_loss_bottom10%': np.float64(61067.541931), 'val_loss_top10%': np.float64(91720.125), 'val_loss_cos1': np.float64(0.991759), 'val_loss_entropy': np.float64(2.294448)}}
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2024-10-14 22:09:32,896 (server:353) INFO: Server: Starting evaluation at the end of round 82.
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2024-10-14 22:09:32,896 (server:359) INFO: ----------- Starting a new training round (Round #83) -------------
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2024-10-14 22:11:24,534 (client:354) INFO: {'Role': 'Client #1', 'Round': 83, 'Results_raw': {'train_loss': 19.365225, 'val_loss': 19.333136, 'test_loss': 19.714072}}
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2024-10-14 22:12:10,888 (client:354) INFO: {'Role': 'Client #9', 'Round': 83, 'Results_raw': {'train_loss': 14.62336, 'val_loss': 16.021848, 'test_loss': 14.579771}}
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2024-10-14 22:12:52,016 (client:354) INFO: {'Role': 'Client #7', 'Round': 83, 'Results_raw': {'train_loss': 11.003756, 'val_loss': 11.319563, 'test_loss': 10.713311}}
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2024-10-14 22:13:33,639 (client:354) INFO: {'Role': 'Client #2', 'Round': 83, 'Results_raw': {'train_loss': 15.217337, 'val_loss': 16.357177, 'test_loss': 16.242787}}
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2024-10-14 22:14:16,680 (client:354) INFO: {'Role': 'Client #4', 'Round': 83, 'Results_raw': {'train_loss': 14.277922, 'val_loss': 13.383527, 'test_loss': 13.961141}}
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2024-10-14 22:14:58,494 (client:354) INFO: {'Role': 'Client #3', 'Round': 83, 'Results_raw': {'train_loss': 17.213403, 'val_loss': 17.548766, 'test_loss': 17.750869}}
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2024-10-14 22:15:38,964 (client:354) INFO: {'Role': 'Client #6', 'Round': 83, 'Results_raw': {'train_loss': 11.650716, 'val_loss': 12.554008, 'test_loss': 12.835783}}
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2024-10-14 22:16:23,170 (client:354) INFO: {'Role': 'Client #10', 'Round': 83, 'Results_raw': {'train_loss': 13.579124, 'val_loss': 13.78678, 'test_loss': 14.285673}}
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2024-10-14 22:17:08,476 (client:354) INFO: {'Role': 'Client #5', 'Round': 83, 'Results_raw': {'train_loss': 11.445582, 'val_loss': 11.49196, 'test_loss': 11.574551}}
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2024-10-14 22:17:49,183 (client:354) INFO: {'Role': 'Client #8', 'Round': 83, 'Results_raw': {'train_loss': 13.872776, 'val_loss': 14.401964, 'test_loss': 13.281266}}
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2024-10-14 22:17:49,187 (server:615) INFO: {'Role': 'Server #', 'Round': 82, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.774755), 'test_loss': np.float64(69607.137445), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.367021), 'val_loss': np.float64(71691.912262), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.774755), 'test_loss': np.float64(69607.137445), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.367021), 'val_loss': np.float64(71691.912262), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.708178), 'test_avg_loss_bottom_decile': np.float64(16.80505), 'test_avg_loss_top_decile': np.float64(25.863754), 'test_avg_loss_min': np.float64(16.56474), 'test_avg_loss_max': np.float64(25.863754), 'test_avg_loss_bottom10%': np.float64(16.56474), 'test_avg_loss_top10%': np.float64(25.863754), 'test_avg_loss_cos1': np.float64(0.990752), 'test_avg_loss_entropy': np.float64(2.293493), 'test_loss_std': np.float64(9532.785043), 'test_loss_bottom_decile': np.float64(59153.774963), 'test_loss_top_decile': np.float64(91040.412415), 'test_loss_min': np.float64(58307.884521), 'test_loss_max': np.float64(91040.412415), 'test_loss_bottom10%': np.float64(58307.884521), 'test_loss_top10%': np.float64(91040.412415), 'test_loss_cos1': np.float64(0.990752), 'test_loss_entropy': np.float64(2.293493), 'val_avg_loss_std': np.float64(2.628936), 'val_avg_loss_bottom_decile': np.float64(17.405718), 'val_avg_loss_top_decile': np.float64(26.075987), 'val_avg_loss_min': np.float64(17.297495), 'val_avg_loss_max': np.float64(26.075987), 'val_avg_loss_bottom10%': np.float64(17.297495), 'val_avg_loss_top10%': np.float64(26.075987), 'val_avg_loss_cos1': np.float64(0.991772), 'val_avg_loss_entropy': np.float64(2.294453), 'val_loss_std': np.float64(9253.856011), 'val_loss_bottom_decile': np.float64(61268.125916), 'val_loss_top_decile': np.float64(91787.473572), 'val_loss_min': np.float64(60887.182495), 'val_loss_max': np.float64(91787.473572), 'val_loss_bottom10%': np.float64(60887.182495), 'val_loss_top10%': np.float64(91787.473572), 'val_loss_cos1': np.float64(0.991772), 'val_loss_entropy': np.float64(2.294453)}}
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2024-10-14 22:17:49,223 (server:353) INFO: Server: Starting evaluation at the end of round 83.
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2024-10-14 22:17:49,224 (server:359) INFO: ----------- Starting a new training round (Round #84) -------------
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2024-10-14 22:19:36,450 (client:354) INFO: {'Role': 'Client #2', 'Round': 84, 'Results_raw': {'train_loss': 15.271446, 'val_loss': 16.300082, 'test_loss': 16.255305}}
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2024-10-14 22:20:18,385 (client:354) INFO: {'Role': 'Client #4', 'Round': 84, 'Results_raw': {'train_loss': 14.244898, 'val_loss': 13.663557, 'test_loss': 14.259266}}
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2024-10-14 22:21:01,812 (client:354) INFO: {'Role': 'Client #10', 'Round': 84, 'Results_raw': {'train_loss': 13.586392, 'val_loss': 13.92508, 'test_loss': 14.513088}}
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2024-10-14 22:21:44,595 (client:354) INFO: {'Role': 'Client #9', 'Round': 84, 'Results_raw': {'train_loss': 14.607605, 'val_loss': 16.025903, 'test_loss': 14.716374}}
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2024-10-14 22:22:26,477 (client:354) INFO: {'Role': 'Client #7', 'Round': 84, 'Results_raw': {'train_loss': 11.015575, 'val_loss': 11.417403, 'test_loss': 10.770295}}
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2024-10-14 22:23:08,462 (client:354) INFO: {'Role': 'Client #6', 'Round': 84, 'Results_raw': {'train_loss': 11.660741, 'val_loss': 12.509109, 'test_loss': 12.871483}}
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2024-10-14 22:23:51,646 (client:354) INFO: {'Role': 'Client #3', 'Round': 84, 'Results_raw': {'train_loss': 17.189698, 'val_loss': 17.529128, 'test_loss': 17.730903}}
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2024-10-14 22:24:36,359 (client:354) INFO: {'Role': 'Client #8', 'Round': 84, 'Results_raw': {'train_loss': 13.812662, 'val_loss': 14.640862, 'test_loss': 13.204401}}
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2024-10-14 22:25:20,884 (client:354) INFO: {'Role': 'Client #5', 'Round': 84, 'Results_raw': {'train_loss': 11.461241, 'val_loss': 11.423356, 'test_loss': 11.602597}}
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2024-10-14 22:26:01,055 (client:354) INFO: {'Role': 'Client #1', 'Round': 84, 'Results_raw': {'train_loss': 19.357226, 'val_loss': 19.206627, 'test_loss': 19.533304}}
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2024-10-14 22:26:01,060 (server:615) INFO: {'Role': 'Server #', 'Round': 83, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.728381), 'test_loss': np.float64(69443.901819), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.321893), 'val_loss': np.float64(71533.0633), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.728381), 'test_loss': np.float64(69443.901819), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.321893), 'val_loss': np.float64(71533.0633), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.624452), 'test_avg_loss_bottom_decile': np.float64(16.773949), 'test_avg_loss_top_decile': np.float64(25.706193), 'test_avg_loss_min': np.float64(16.755778), 'test_avg_loss_max': np.float64(25.706193), 'test_avg_loss_bottom10%': np.float64(16.755778), 'test_avg_loss_top10%': np.float64(25.706193), 'test_avg_loss_cos1': np.float64(0.991267), 'test_avg_loss_entropy': np.float64(2.294025), 'test_loss_std': np.float64(9238.070499), 'test_loss_bottom_decile': np.float64(59044.300598), 'test_loss_top_decile': np.float64(90485.797729), 'test_loss_min': np.float64(58980.33783), 'test_loss_max': np.float64(90485.797729), 'test_loss_bottom10%': np.float64(58980.33783), 'test_loss_top10%': np.float64(90485.797729), 'test_loss_cos1': np.float64(0.991267), 'test_loss_entropy': np.float64(2.294025), 'val_avg_loss_std': np.float64(2.546504), 'val_avg_loss_bottom_decile': np.float64(17.50446), 'val_avg_loss_top_decile': np.float64(25.908453), 'val_avg_loss_min': np.float64(17.337936), 'val_avg_loss_max': np.float64(25.908453), 'val_avg_loss_bottom10%': np.float64(17.337936), 'val_avg_loss_top10%': np.float64(25.908453), 'val_avg_loss_cos1': np.float64(0.99224), 'val_avg_loss_entropy': np.float64(2.29493), 'val_loss_std': np.float64(8963.692541), 'val_loss_bottom_decile': np.float64(61615.699951), 'val_loss_top_decile': np.float64(91197.755249), 'val_loss_min': np.float64(61029.534546), 'val_loss_max': np.float64(91197.755249), 'val_loss_bottom10%': np.float64(61029.534546), 'val_loss_top10%': np.float64(91197.755249), 'val_loss_cos1': np.float64(0.99224), 'val_loss_entropy': np.float64(2.29493)}}
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2024-10-14 22:26:01,098 (server:353) INFO: Server: Starting evaluation at the end of round 84.
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2024-10-14 22:26:01,099 (server:359) INFO: ----------- Starting a new training round (Round #85) -------------
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2024-10-14 22:27:47,781 (client:354) INFO: {'Role': 'Client #10', 'Round': 85, 'Results_raw': {'train_loss': 13.579083, 'val_loss': 13.992762, 'test_loss': 14.449055}}
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2024-10-14 22:28:28,004 (client:354) INFO: {'Role': 'Client #6', 'Round': 85, 'Results_raw': {'train_loss': 11.650146, 'val_loss': 12.566055, 'test_loss': 12.987915}}
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2024-10-14 22:29:08,727 (client:354) INFO: {'Role': 'Client #2', 'Round': 85, 'Results_raw': {'train_loss': 15.23845, 'val_loss': 16.315685, 'test_loss': 16.151724}}
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2024-10-14 22:29:49,089 (client:354) INFO: {'Role': 'Client #9', 'Round': 85, 'Results_raw': {'train_loss': 14.565977, 'val_loss': 16.330994, 'test_loss': 14.745559}}
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2024-10-14 22:30:31,343 (client:354) INFO: {'Role': 'Client #7', 'Round': 85, 'Results_raw': {'train_loss': 11.05225, 'val_loss': 11.372843, 'test_loss': 10.748365}}
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2024-10-14 22:31:12,119 (client:354) INFO: {'Role': 'Client #4', 'Round': 85, 'Results_raw': {'train_loss': 14.248324, 'val_loss': 13.393002, 'test_loss': 13.986615}}
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2024-10-14 22:31:53,290 (client:354) INFO: {'Role': 'Client #5', 'Round': 85, 'Results_raw': {'train_loss': 11.437667, 'val_loss': 11.587356, 'test_loss': 11.6736}}
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2024-10-14 22:32:35,345 (client:354) INFO: {'Role': 'Client #1', 'Round': 85, 'Results_raw': {'train_loss': 19.35331, 'val_loss': 19.401871, 'test_loss': 19.823915}}
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2024-10-14 22:33:18,537 (client:354) INFO: {'Role': 'Client #8', 'Round': 85, 'Results_raw': {'train_loss': 13.875744, 'val_loss': 14.466432, 'test_loss': 13.165974}}
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2024-10-14 22:33:59,838 (client:354) INFO: {'Role': 'Client #3', 'Round': 85, 'Results_raw': {'train_loss': 17.20735, 'val_loss': 17.689856, 'test_loss': 17.845748}}
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2024-10-14 22:33:59,843 (server:615) INFO: {'Role': 'Server #', 'Round': 84, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.645511), 'test_loss': np.float64(69152.198145), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.241335), 'val_loss': np.float64(71249.500024), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.645511), 'test_loss': np.float64(69152.198145), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.241335), 'val_loss': np.float64(71249.500024), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.681457), 'test_avg_loss_bottom_decile': np.float64(16.679229), 'test_avg_loss_top_decile': np.float64(25.740421), 'test_avg_loss_min': np.float64(16.625074), 'test_avg_loss_max': np.float64(25.740421), 'test_avg_loss_bottom10%': np.float64(16.625074), 'test_avg_loss_top10%': np.float64(25.740421), 'test_avg_loss_cos1': np.float64(0.990813), 'test_avg_loss_entropy': np.float64(2.293581), 'test_loss_std': np.float64(9438.728804), 'test_loss_bottom_decile': np.float64(58710.885132), 'test_loss_top_decile': np.float64(90606.28363), 'test_loss_min': np.float64(58520.261902), 'test_loss_max': np.float64(90606.28363), 'test_loss_bottom10%': np.float64(58520.261902), 'test_loss_top10%': np.float64(90606.28363), 'test_loss_cos1': np.float64(0.990813), 'test_loss_entropy': np.float64(2.293581), 'val_avg_loss_std': np.float64(2.580626), 'val_avg_loss_bottom_decile': np.float64(17.370972), 'val_avg_loss_top_decile': np.float64(25.929016), 'val_avg_loss_min': np.float64(17.284578), 'val_avg_loss_max': np.float64(25.929016), 'val_avg_loss_bottom10%': np.float64(17.284578), 'val_avg_loss_top10%': np.float64(25.929016), 'val_avg_loss_cos1': np.float64(0.991971), 'val_avg_loss_entropy': np.float64(2.294669), 'val_loss_std': np.float64(9083.802535), 'val_loss_bottom_decile': np.float64(61145.819885), 'val_loss_top_decile': np.float64(91270.134583), 'val_loss_min': np.float64(60841.714905), 'val_loss_max': np.float64(91270.134583), 'val_loss_bottom10%': np.float64(60841.714905), 'val_loss_top10%': np.float64(91270.134583), 'val_loss_cos1': np.float64(0.991971), 'val_loss_entropy': np.float64(2.294669)}}
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2024-10-14 22:33:59,888 (server:353) INFO: Server: Starting evaluation at the end of round 85.
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2024-10-14 22:33:59,888 (server:359) INFO: ----------- Starting a new training round (Round #86) -------------
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2024-10-14 22:35:50,108 (client:354) INFO: {'Role': 'Client #10', 'Round': 86, 'Results_raw': {'train_loss': 13.58506, 'val_loss': 13.78162, 'test_loss': 14.419884}}
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2024-10-14 22:36:32,577 (client:354) INFO: {'Role': 'Client #4', 'Round': 86, 'Results_raw': {'train_loss': 14.227072, 'val_loss': 13.441728, 'test_loss': 14.164698}}
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2024-10-14 22:37:14,249 (client:354) INFO: {'Role': 'Client #3', 'Round': 86, 'Results_raw': {'train_loss': 17.199244, 'val_loss': 17.57833, 'test_loss': 17.766656}}
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2024-10-14 22:37:57,450 (client:354) INFO: {'Role': 'Client #7', 'Round': 86, 'Results_raw': {'train_loss': 11.009614, 'val_loss': 11.273846, 'test_loss': 10.557335}}
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2024-10-14 22:38:39,555 (client:354) INFO: {'Role': 'Client #9', 'Round': 86, 'Results_raw': {'train_loss': 14.54511, 'val_loss': 16.034561, 'test_loss': 14.644037}}
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2024-10-14 22:39:20,170 (client:354) INFO: {'Role': 'Client #6', 'Round': 86, 'Results_raw': {'train_loss': 11.617072, 'val_loss': 12.507415, 'test_loss': 13.155862}}
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2024-10-14 22:40:01,246 (client:354) INFO: {'Role': 'Client #8', 'Round': 86, 'Results_raw': {'train_loss': 13.779913, 'val_loss': 14.706449, 'test_loss': 13.411137}}
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2024-10-14 22:40:42,210 (client:354) INFO: {'Role': 'Client #2', 'Round': 86, 'Results_raw': {'train_loss': 15.186519, 'val_loss': 16.204133, 'test_loss': 16.051937}}
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2024-10-14 22:41:26,928 (client:354) INFO: {'Role': 'Client #1', 'Round': 86, 'Results_raw': {'train_loss': 19.293606, 'val_loss': 19.273549, 'test_loss': 19.773021}}
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2024-10-14 22:42:09,564 (client:354) INFO: {'Role': 'Client #5', 'Round': 86, 'Results_raw': {'train_loss': 11.405401, 'val_loss': 11.324186, 'test_loss': 11.440515}}
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2024-10-14 22:42:09,567 (server:615) INFO: {'Role': 'Server #', 'Round': 85, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.629175), 'test_loss': np.float64(69094.697205), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.218829), 'val_loss': np.float64(71170.27735), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.629175), 'test_loss': np.float64(69094.697205), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.218829), 'val_loss': np.float64(71170.27735), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.754405), 'test_avg_loss_bottom_decile': np.float64(16.752085), 'test_avg_loss_top_decile': np.float64(25.879512), 'test_avg_loss_min': np.float64(16.349969), 'test_avg_loss_max': np.float64(25.879512), 'test_avg_loss_bottom10%': np.float64(16.349969), 'test_avg_loss_top10%': np.float64(25.879512), 'test_avg_loss_cos1': np.float64(0.990298), 'test_avg_loss_entropy': np.float64(2.293067), 'test_loss_std': np.float64(9695.507082), 'test_loss_bottom_decile': np.float64(58967.337891), 'test_loss_top_decile': np.float64(91095.881958), 'test_loss_min': np.float64(57551.891785), 'test_loss_max': np.float64(91095.881958), 'test_loss_bottom10%': np.float64(57551.891785), 'test_loss_top10%': np.float64(91095.881958), 'test_loss_cos1': np.float64(0.990298), 'test_loss_entropy': np.float64(2.293067), 'val_avg_loss_std': np.float64(2.667924), 'val_avg_loss_bottom_decile': np.float64(17.328712), 'val_avg_loss_top_decile': np.float64(26.08147), 'val_avg_loss_min': np.float64(17.077042), 'val_avg_loss_max': np.float64(26.08147), 'val_avg_loss_bottom10%': np.float64(17.077042), 'val_avg_loss_top10%': np.float64(26.08147), 'val_avg_loss_cos1': np.float64(0.991406), 'val_avg_loss_entropy': np.float64(2.294106), 'val_loss_std': np.float64(9391.093917), 'val_loss_bottom_decile': np.float64(60997.064697), 'val_loss_top_decile': np.float64(91806.772949), 'val_loss_min': np.float64(60111.187805), 'val_loss_max': np.float64(91806.772949), 'val_loss_bottom10%': np.float64(60111.187805), 'val_loss_top10%': np.float64(91806.772949), 'val_loss_cos1': np.float64(0.991406), 'val_loss_entropy': np.float64(2.294106)}}
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2024-10-14 22:42:09,598 (server:353) INFO: Server: Starting evaluation at the end of round 86.
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2024-10-14 22:42:09,598 (server:359) INFO: ----------- Starting a new training round (Round #87) -------------
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2024-10-14 22:44:01,652 (client:354) INFO: {'Role': 'Client #4', 'Round': 87, 'Results_raw': {'train_loss': 14.184269, 'val_loss': 13.390655, 'test_loss': 14.023747}}
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2024-10-14 22:44:39,636 (client:354) INFO: {'Role': 'Client #5', 'Round': 87, 'Results_raw': {'train_loss': 11.376391, 'val_loss': 11.352987, 'test_loss': 11.57447}}
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2024-10-14 22:45:17,482 (client:354) INFO: {'Role': 'Client #10', 'Round': 87, 'Results_raw': {'train_loss': 13.514588, 'val_loss': 13.729206, 'test_loss': 14.266708}}
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2024-10-14 22:45:56,887 (client:354) INFO: {'Role': 'Client #7', 'Round': 87, 'Results_raw': {'train_loss': 10.990851, 'val_loss': 11.355702, 'test_loss': 10.674392}}
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2024-10-14 22:46:38,126 (client:354) INFO: {'Role': 'Client #9', 'Round': 87, 'Results_raw': {'train_loss': 14.500447, 'val_loss': 16.004034, 'test_loss': 14.43963}}
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2024-10-14 22:47:20,021 (client:354) INFO: {'Role': 'Client #2', 'Round': 87, 'Results_raw': {'train_loss': 15.233473, 'val_loss': 16.221664, 'test_loss': 16.126221}}
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2024-10-14 22:48:03,709 (client:354) INFO: {'Role': 'Client #1', 'Round': 87, 'Results_raw': {'train_loss': 19.306342, 'val_loss': 19.28996, 'test_loss': 19.752061}}
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2024-10-14 22:48:43,017 (client:354) INFO: {'Role': 'Client #3', 'Round': 87, 'Results_raw': {'train_loss': 17.196335, 'val_loss': 17.530281, 'test_loss': 17.735615}}
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2024-10-14 22:49:32,864 (client:354) INFO: {'Role': 'Client #8', 'Round': 87, 'Results_raw': {'train_loss': 13.790143, 'val_loss': 14.825054, 'test_loss': 13.429139}}
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2024-10-14 22:50:11,333 (client:354) INFO: {'Role': 'Client #6', 'Round': 87, 'Results_raw': {'train_loss': 11.629249, 'val_loss': 12.472837, 'test_loss': 12.932774}}
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2024-10-14 22:50:11,337 (server:615) INFO: {'Role': 'Server #', 'Round': 86, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.607612), 'test_loss': np.float64(69018.795709), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.203264), 'val_loss': np.float64(71115.48855), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.607612), 'test_loss': np.float64(69018.795709), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.203264), 'val_loss': np.float64(71115.48855), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.640905), 'test_avg_loss_bottom_decile': np.float64(16.707768), 'test_avg_loss_top_decile': np.float64(25.639483), 'test_avg_loss_min': np.float64(16.640284), 'test_avg_loss_max': np.float64(25.639483), 'test_avg_loss_bottom10%': np.float64(16.640284), 'test_avg_loss_top10%': np.float64(25.639483), 'test_avg_loss_cos1': np.float64(0.991051), 'test_avg_loss_entropy': np.float64(2.293824), 'test_loss_std': np.float64(9295.986612), 'test_loss_bottom_decile': np.float64(58811.343689), 'test_loss_top_decile': np.float64(90250.981445), 'test_loss_min': np.float64(58573.799194), 'test_loss_max': np.float64(90250.981445), 'test_loss_bottom10%': np.float64(58573.799194), 'test_loss_top10%': np.float64(90250.981445), 'test_loss_cos1': np.float64(0.991051), 'test_loss_entropy': np.float64(2.293824), 'val_avg_loss_std': np.float64(2.550744), 'val_avg_loss_bottom_decile': np.float64(17.452261), 'val_avg_loss_top_decile': np.float64(25.859777), 'val_avg_loss_min': np.float64(17.243039), 'val_avg_loss_max': np.float64(25.859777), 'val_avg_loss_bottom10%': np.float64(17.243039), 'val_avg_loss_top10%': np.float64(25.859777), 'val_avg_loss_cos1': np.float64(0.992124), 'val_avg_loss_entropy': np.float64(2.294829), 'val_loss_std': np.float64(8978.617446), 'val_loss_bottom_decile': np.float64(61431.957825), 'val_loss_top_decile': np.float64(91026.416565), 'val_loss_min': np.float64(60695.496643), 'val_loss_max': np.float64(91026.416565), 'val_loss_bottom10%': np.float64(60695.496643), 'val_loss_top10%': np.float64(91026.416565), 'val_loss_cos1': np.float64(0.992124), 'val_loss_entropy': np.float64(2.294829)}}
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2024-10-14 22:50:11,370 (server:353) INFO: Server: Starting evaluation at the end of round 87.
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2024-10-14 22:50:11,370 (server:359) INFO: ----------- Starting a new training round (Round #88) -------------
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2024-10-14 22:51:59,075 (client:354) INFO: {'Role': 'Client #9', 'Round': 88, 'Results_raw': {'train_loss': 14.602838, 'val_loss': 16.303415, 'test_loss': 14.69503}}
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2024-10-14 22:52:38,047 (client:354) INFO: {'Role': 'Client #10', 'Round': 88, 'Results_raw': {'train_loss': 13.550695, 'val_loss': 13.767402, 'test_loss': 14.332685}}
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2024-10-14 22:53:16,853 (client:354) INFO: {'Role': 'Client #3', 'Round': 88, 'Results_raw': {'train_loss': 17.182955, 'val_loss': 17.466008, 'test_loss': 17.705674}}
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2024-10-14 22:53:57,531 (client:354) INFO: {'Role': 'Client #2', 'Round': 88, 'Results_raw': {'train_loss': 15.233525, 'val_loss': 16.32112, 'test_loss': 16.261076}}
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2024-10-14 22:54:39,548 (client:354) INFO: {'Role': 'Client #5', 'Round': 88, 'Results_raw': {'train_loss': 11.417787, 'val_loss': 11.358639, 'test_loss': 11.52773}}
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2024-10-14 22:55:20,230 (client:354) INFO: {'Role': 'Client #7', 'Round': 88, 'Results_raw': {'train_loss': 10.991083, 'val_loss': 11.288439, 'test_loss': 10.673119}}
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2024-10-14 22:56:01,783 (client:354) INFO: {'Role': 'Client #1', 'Round': 88, 'Results_raw': {'train_loss': 19.338667, 'val_loss': 19.30687, 'test_loss': 19.67219}}
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2024-10-14 22:56:42,632 (client:354) INFO: {'Role': 'Client #8', 'Round': 88, 'Results_raw': {'train_loss': 13.75493, 'val_loss': 14.553625, 'test_loss': 13.22495}}
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2024-10-14 22:57:26,074 (client:354) INFO: {'Role': 'Client #6', 'Round': 88, 'Results_raw': {'train_loss': 11.616687, 'val_loss': 12.384638, 'test_loss': 12.87237}}
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2024-10-14 22:58:06,588 (client:354) INFO: {'Role': 'Client #4', 'Round': 88, 'Results_raw': {'train_loss': 14.13845, 'val_loss': 13.355806, 'test_loss': 13.733686}}
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2024-10-14 22:58:06,592 (server:615) INFO: {'Role': 'Server #', 'Round': 87, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.618129), 'test_loss': np.float64(69055.815039), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.214461), 'val_loss': np.float64(71154.904156), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.618129), 'test_loss': np.float64(69055.815039), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.214461), 'val_loss': np.float64(71154.904156), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.661255), 'test_avg_loss_bottom_decile': np.float64(16.651474), 'test_avg_loss_top_decile': np.float64(25.685642), 'test_avg_loss_min': np.float64(16.575285), 'test_avg_loss_max': np.float64(25.685642), 'test_avg_loss_bottom10%': np.float64(16.575285), 'test_avg_loss_top10%': np.float64(25.685642), 'test_avg_loss_cos1': np.float64(0.990924), 'test_avg_loss_entropy': np.float64(2.293694), 'test_loss_std': np.float64(9367.618773), 'test_loss_bottom_decile': np.float64(58613.18927), 'test_loss_top_decile': np.float64(90413.458191), 'test_loss_min': np.float64(58345.001465), 'test_loss_max': np.float64(90413.458191), 'test_loss_bottom10%': np.float64(58345.001465), 'test_loss_top10%': np.float64(90413.458191), 'test_loss_cos1': np.float64(0.990924), 'test_loss_entropy': np.float64(2.293694), 'val_avg_loss_std': np.float64(2.567061), 'val_avg_loss_bottom_decile': np.float64(17.31618), 'val_avg_loss_top_decile': np.float64(25.863159), 'val_avg_loss_min': np.float64(17.227884), 'val_avg_loss_max': np.float64(25.863159), 'val_avg_loss_bottom10%': np.float64(17.227884), 'val_avg_loss_top10%': np.float64(25.863159), 'val_avg_loss_cos1': np.float64(0.992033), 'val_avg_loss_entropy': np.float64(2.294728), 'val_loss_std': np.float64(9036.055283), 'val_loss_bottom_decile': np.float64(60952.953613), 'val_loss_top_decile': np.float64(91038.320862), 'val_loss_min': np.float64(60642.150696), 'val_loss_max': np.float64(91038.320862), 'val_loss_bottom10%': np.float64(60642.150696), 'val_loss_top10%': np.float64(91038.320862), 'val_loss_cos1': np.float64(0.992033), 'val_loss_entropy': np.float64(2.294728)}}
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2024-10-14 22:58:06,634 (server:353) INFO: Server: Starting evaluation at the end of round 88.
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2024-10-14 22:58:06,635 (server:359) INFO: ----------- Starting a new training round (Round #89) -------------
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2024-10-14 22:59:58,882 (client:354) INFO: {'Role': 'Client #8', 'Round': 89, 'Results_raw': {'train_loss': 13.785884, 'val_loss': 14.365573, 'test_loss': 13.075495}}
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2024-10-14 23:00:40,935 (client:354) INFO: {'Role': 'Client #10', 'Round': 89, 'Results_raw': {'train_loss': 13.546841, 'val_loss': 13.823106, 'test_loss': 14.481441}}
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2024-10-14 23:01:22,455 (client:354) INFO: {'Role': 'Client #7', 'Round': 89, 'Results_raw': {'train_loss': 10.992604, 'val_loss': 11.377847, 'test_loss': 10.742991}}
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2024-10-14 23:02:09,647 (client:354) INFO: {'Role': 'Client #5', 'Round': 89, 'Results_raw': {'train_loss': 11.407437, 'val_loss': 11.545306, 'test_loss': 11.560459}}
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2024-10-14 23:02:51,475 (client:354) INFO: {'Role': 'Client #9', 'Round': 89, 'Results_raw': {'train_loss': 14.543676, 'val_loss': 16.02888, 'test_loss': 14.41816}}
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2024-10-14 23:03:31,265 (client:354) INFO: {'Role': 'Client #4', 'Round': 89, 'Results_raw': {'train_loss': 14.172844, 'val_loss': 13.165569, 'test_loss': 13.678669}}
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2024-10-14 23:04:12,654 (client:354) INFO: {'Role': 'Client #2', 'Round': 89, 'Results_raw': {'train_loss': 15.194238, 'val_loss': 16.243839, 'test_loss': 16.122249}}
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2024-10-14 23:04:55,355 (client:354) INFO: {'Role': 'Client #1', 'Round': 89, 'Results_raw': {'train_loss': 19.354489, 'val_loss': 19.370209, 'test_loss': 19.838632}}
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2024-10-14 23:05:38,473 (client:354) INFO: {'Role': 'Client #6', 'Round': 89, 'Results_raw': {'train_loss': 11.629017, 'val_loss': 12.513505, 'test_loss': 12.834985}}
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2024-10-14 23:06:21,569 (client:354) INFO: {'Role': 'Client #3', 'Round': 89, 'Results_raw': {'train_loss': 17.140599, 'val_loss': 17.494516, 'test_loss': 17.654571}}
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2024-10-14 23:06:21,574 (server:615) INFO: {'Role': 'Server #', 'Round': 88, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.619573), 'test_loss': np.float64(69060.897229), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.217728), 'val_loss': np.float64(71166.404047), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.619573), 'test_loss': np.float64(69060.897229), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.217728), 'val_loss': np.float64(71166.404047), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.680977), 'test_avg_loss_bottom_decile': np.float64(16.79058), 'test_avg_loss_top_decile': np.float64(25.695999), 'test_avg_loss_min': np.float64(16.473623), 'test_avg_loss_max': np.float64(25.695999), 'test_avg_loss_bottom10%': np.float64(16.473623), 'test_avg_loss_top10%': np.float64(25.695999), 'test_avg_loss_cos1': np.float64(0.990792), 'test_avg_loss_entropy': np.float64(2.293551), 'test_loss_std': np.float64(9437.038567), 'test_loss_bottom_decile': np.float64(59102.840942), 'test_loss_top_decile': np.float64(90449.916626), 'test_loss_min': np.float64(57987.154358), 'test_loss_max': np.float64(90449.916626), 'test_loss_bottom10%': np.float64(57987.154358), 'test_loss_top10%': np.float64(90449.916626), 'test_loss_cos1': np.float64(0.990792), 'test_loss_entropy': np.float64(2.293551), 'val_avg_loss_std': np.float64(2.596116), 'val_avg_loss_bottom_decile': np.float64(17.362392), 'val_avg_loss_top_decile': np.float64(25.899436), 'val_avg_loss_min': np.float64(17.215477), 'val_avg_loss_max': np.float64(25.899436), 'val_avg_loss_bottom10%': np.float64(17.215477), 'val_avg_loss_top10%': np.float64(25.899436), 'val_avg_loss_cos1': np.float64(0.991856), 'val_avg_loss_entropy': np.float64(2.294548), 'val_loss_std': np.float64(9138.327204), 'val_loss_bottom_decile': np.float64(61115.61853), 'val_loss_top_decile': np.float64(91166.016052), 'val_loss_min': np.float64(60598.480347), 'val_loss_max': np.float64(91166.016052), 'val_loss_bottom10%': np.float64(60598.480347), 'val_loss_top10%': np.float64(91166.016052), 'val_loss_cos1': np.float64(0.991856), 'val_loss_entropy': np.float64(2.294548)}}
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2024-10-14 23:06:21,620 (server:353) INFO: Server: Starting evaluation at the end of round 89.
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2024-10-14 23:06:21,621 (server:359) INFO: ----------- Starting a new training round (Round #90) -------------
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2024-10-14 23:08:10,319 (client:354) INFO: {'Role': 'Client #5', 'Round': 90, 'Results_raw': {'train_loss': 15.841073, 'val_loss': 32.041233, 'test_loss': 32.937716}}
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2024-10-14 23:08:50,895 (client:354) INFO: {'Role': 'Client #2', 'Round': 90, 'Results_raw': {'train_loss': 15.167093, 'val_loss': 16.150536, 'test_loss': 16.043499}}
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2024-10-14 23:09:29,900 (client:354) INFO: {'Role': 'Client #1', 'Round': 90, 'Results_raw': {'train_loss': 19.323217, 'val_loss': 19.287912, 'test_loss': 19.744782}}
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2024-10-14 23:10:10,081 (client:354) INFO: {'Role': 'Client #8', 'Round': 90, 'Results_raw': {'train_loss': 13.805749, 'val_loss': 14.885699, 'test_loss': 13.383115}}
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2024-10-14 23:10:52,219 (client:354) INFO: {'Role': 'Client #10', 'Round': 90, 'Results_raw': {'train_loss': 13.541517, 'val_loss': 13.94825, 'test_loss': 14.465452}}
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2024-10-14 23:11:31,736 (client:354) INFO: {'Role': 'Client #3', 'Round': 90, 'Results_raw': {'train_loss': 17.140012, 'val_loss': 17.543103, 'test_loss': 17.72652}}
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2024-10-14 23:12:11,024 (client:354) INFO: {'Role': 'Client #9', 'Round': 90, 'Results_raw': {'train_loss': 14.541742, 'val_loss': 16.135742, 'test_loss': 14.740907}}
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2024-10-14 23:12:52,020 (client:354) INFO: {'Role': 'Client #7', 'Round': 90, 'Results_raw': {'train_loss': 10.988614, 'val_loss': 11.313882, 'test_loss': 10.623284}}
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2024-10-14 23:13:34,564 (client:354) INFO: {'Role': 'Client #4', 'Round': 90, 'Results_raw': {'train_loss': 14.238744, 'val_loss': 13.409672, 'test_loss': 14.027605}}
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2024-10-14 23:14:14,305 (client:354) INFO: {'Role': 'Client #6', 'Round': 90, 'Results_raw': {'train_loss': 11.585257, 'val_loss': 12.433191, 'test_loss': 12.80466}}
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2024-10-14 23:14:14,310 (server:615) INFO: {'Role': 'Server #', 'Round': 89, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.636537), 'test_loss': np.float64(69120.611102), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.233921), 'val_loss': np.float64(71223.402087), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.636537), 'test_loss': np.float64(69120.611102), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.233921), 'val_loss': np.float64(71223.402087), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.717526), 'test_avg_loss_bottom_decile': np.float64(16.725124), 'test_avg_loss_top_decile': np.float64(25.797512), 'test_avg_loss_min': np.float64(16.447543), 'test_avg_loss_max': np.float64(25.797512), 'test_avg_loss_bottom10%': np.float64(16.447543), 'test_avg_loss_top10%': np.float64(25.797512), 'test_avg_loss_cos1': np.float64(0.990559), 'test_avg_loss_entropy': np.float64(2.293319), 'test_loss_std': np.float64(9565.690923), 'test_loss_bottom_decile': np.float64(58872.436829), 'test_loss_top_decile': np.float64(90807.240662), 'test_loss_min': np.float64(57895.351746), 'test_loss_max': np.float64(90807.240662), 'test_loss_bottom10%': np.float64(57895.351746), 'test_loss_top10%': np.float64(90807.240662), 'test_loss_cos1': np.float64(0.990559), 'test_loss_entropy': np.float64(2.293319), 'val_avg_loss_std': np.float64(2.633738), 'val_avg_loss_bottom_decile': np.float64(17.326076), 'val_avg_loss_top_decile': np.float64(25.998741), 'val_avg_loss_min': np.float64(17.188728), 'val_avg_loss_max': np.float64(25.998741), 'val_avg_loss_bottom10%': np.float64(17.188728), 'val_avg_loss_top10%': np.float64(25.998741), 'val_avg_loss_cos1': np.float64(0.991635), 'val_avg_loss_entropy': np.float64(2.294328), 'val_loss_std': np.float64(9270.757541), 'val_loss_bottom_decile': np.float64(60987.789185), 'val_loss_top_decile': np.float64(91515.567993), 'val_loss_min': np.float64(60504.320984), 'val_loss_max': np.float64(91515.567993), 'val_loss_bottom10%': np.float64(60504.320984), 'val_loss_top10%': np.float64(91515.567993), 'val_loss_cos1': np.float64(0.991635), 'val_loss_entropy': np.float64(2.294328)}}
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2024-10-14 23:14:14,351 (server:353) INFO: Server: Starting evaluation at the end of round 90.
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2024-10-14 23:14:14,352 (server:359) INFO: ----------- Starting a new training round (Round #91) -------------
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2024-10-14 23:16:01,822 (client:354) INFO: {'Role': 'Client #5', 'Round': 91, 'Results_raw': {'train_loss': 11.406987, 'val_loss': 11.4915, 'test_loss': 11.761168}}
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2024-10-14 23:16:44,449 (client:354) INFO: {'Role': 'Client #10', 'Round': 91, 'Results_raw': {'train_loss': 13.533431, 'val_loss': 13.946476, 'test_loss': 14.328315}}
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2024-10-14 23:17:27,452 (client:354) INFO: {'Role': 'Client #8', 'Round': 91, 'Results_raw': {'train_loss': 13.693487, 'val_loss': 14.829833, 'test_loss': 13.322707}}
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2024-10-14 23:18:10,391 (client:354) INFO: {'Role': 'Client #6', 'Round': 91, 'Results_raw': {'train_loss': 11.59135, 'val_loss': 12.449159, 'test_loss': 12.826928}}
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2024-10-14 23:18:51,259 (client:354) INFO: {'Role': 'Client #2', 'Round': 91, 'Results_raw': {'train_loss': 15.168681, 'val_loss': 16.248692, 'test_loss': 16.144956}}
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2024-10-14 23:19:30,246 (client:354) INFO: {'Role': 'Client #4', 'Round': 91, 'Results_raw': {'train_loss': 14.191962, 'val_loss': 13.50412, 'test_loss': 14.147466}}
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2024-10-14 23:20:11,134 (client:354) INFO: {'Role': 'Client #3', 'Round': 91, 'Results_raw': {'train_loss': 17.124055, 'val_loss': 17.51788, 'test_loss': 17.740886}}
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2024-10-14 23:20:52,128 (client:354) INFO: {'Role': 'Client #9', 'Round': 91, 'Results_raw': {'train_loss': 14.493644, 'val_loss': 16.006857, 'test_loss': 14.520841}}
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2024-10-14 23:21:29,756 (client:354) INFO: {'Role': 'Client #7', 'Round': 91, 'Results_raw': {'train_loss': 10.973675, 'val_loss': 11.285527, 'test_loss': 10.66412}}
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2024-10-14 23:22:10,801 (client:354) INFO: {'Role': 'Client #1', 'Round': 91, 'Results_raw': {'train_loss': 19.29924, 'val_loss': 19.396725, 'test_loss': 19.668995}}
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2024-10-14 23:22:10,805 (server:615) INFO: {'Role': 'Server #', 'Round': 90, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.561538), 'test_loss': np.float64(68856.613202), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.168583), 'val_loss': np.float64(70993.412476), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.561538), 'test_loss': np.float64(68856.613202), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.168583), 'val_loss': np.float64(70993.412476), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.663518), 'test_avg_loss_bottom_decile': np.float64(16.736397), 'test_avg_loss_top_decile': np.float64(25.701761), 'test_avg_loss_min': np.float64(16.543889), 'test_avg_loss_max': np.float64(25.701761), 'test_avg_loss_bottom10%': np.float64(16.543889), 'test_avg_loss_top10%': np.float64(25.701761), 'test_avg_loss_cos1': np.float64(0.990857), 'test_avg_loss_entropy': np.float64(2.293649), 'test_loss_std': np.float64(9375.584268), 'test_loss_bottom_decile': np.float64(58912.11731), 'test_loss_top_decile': np.float64(90470.198853), 'test_loss_min': np.float64(58234.488281), 'test_loss_max': np.float64(90470.198853), 'test_loss_bottom10%': np.float64(58234.488281), 'test_loss_top10%': np.float64(90470.198853), 'test_loss_cos1': np.float64(0.990857), 'test_loss_entropy': np.float64(2.293649), 'val_avg_loss_std': np.float64(2.581742), 'val_avg_loss_bottom_decile': np.float64(17.37248), 'val_avg_loss_top_decile': np.float64(25.90674), 'val_avg_loss_min': np.float64(17.262375), 'val_avg_loss_max': np.float64(25.90674), 'val_avg_loss_bottom10%': np.float64(17.262375), 'val_avg_loss_top10%': np.float64(25.90674), 'val_avg_loss_cos1': np.float64(0.991906), 'val_avg_loss_entropy': np.float64(2.294622), 'val_loss_std': np.float64(9087.73138), 'val_loss_bottom_decile': np.float64(61151.129883), 'val_loss_top_decile': np.float64(91191.725098), 'val_loss_min': np.float64(60763.560242), 'val_loss_max': np.float64(91191.725098), 'val_loss_bottom10%': np.float64(60763.560242), 'val_loss_top10%': np.float64(91191.725098), 'val_loss_cos1': np.float64(0.991906), 'val_loss_entropy': np.float64(2.294622)}}
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2024-10-14 23:22:10,842 (server:353) INFO: Server: Starting evaluation at the end of round 91.
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2024-10-14 23:22:10,843 (server:359) INFO: ----------- Starting a new training round (Round #92) -------------
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2024-10-14 23:23:59,544 (client:354) INFO: {'Role': 'Client #7', 'Round': 92, 'Results_raw': {'train_loss': 11.013618, 'val_loss': 11.301292, 'test_loss': 10.694986}}
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2024-10-14 23:24:43,036 (client:354) INFO: {'Role': 'Client #3', 'Round': 92, 'Results_raw': {'train_loss': 17.164156, 'val_loss': 17.58414, 'test_loss': 17.753846}}
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2024-10-14 23:25:24,096 (client:354) INFO: {'Role': 'Client #6', 'Round': 92, 'Results_raw': {'train_loss': 11.583271, 'val_loss': 12.430511, 'test_loss': 12.800088}}
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2024-10-14 23:26:05,947 (client:354) INFO: {'Role': 'Client #4', 'Round': 92, 'Results_raw': {'train_loss': 14.160902, 'val_loss': 13.301517, 'test_loss': 13.918809}}
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2024-10-14 23:26:49,679 (client:354) INFO: {'Role': 'Client #10', 'Round': 92, 'Results_raw': {'train_loss': 13.547922, 'val_loss': 13.85032, 'test_loss': 14.449238}}
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2024-10-14 23:27:33,369 (client:354) INFO: {'Role': 'Client #9', 'Round': 92, 'Results_raw': {'train_loss': 14.533212, 'val_loss': 16.236541, 'test_loss': 14.68858}}
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2024-10-14 23:28:13,722 (client:354) INFO: {'Role': 'Client #5', 'Round': 92, 'Results_raw': {'train_loss': 11.39476, 'val_loss': 11.476367, 'test_loss': 11.52113}}
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2024-10-14 23:28:54,911 (client:354) INFO: {'Role': 'Client #2', 'Round': 92, 'Results_raw': {'train_loss': 15.1545, 'val_loss': 16.252476, 'test_loss': 16.122072}}
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2024-10-14 23:29:36,723 (client:354) INFO: {'Role': 'Client #1', 'Round': 92, 'Results_raw': {'train_loss': 19.27842, 'val_loss': 19.297848, 'test_loss': 19.756842}}
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2024-10-14 23:30:19,193 (client:354) INFO: {'Role': 'Client #8', 'Round': 92, 'Results_raw': {'train_loss': 13.743043, 'val_loss': 15.130002, 'test_loss': 13.537286}}
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2024-10-14 23:30:19,197 (server:615) INFO: {'Role': 'Server #', 'Round': 91, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.574826), 'test_loss': np.float64(68903.386761), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.177537), 'val_loss': np.float64(71024.928882), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.574826), 'test_loss': np.float64(68903.386761), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.177537), 'val_loss': np.float64(71024.928882), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.677339), 'test_avg_loss_bottom_decile': np.float64(16.587014), 'test_avg_loss_top_decile': np.float64(25.700104), 'test_avg_loss_min': np.float64(16.573225), 'test_avg_loss_max': np.float64(25.700104), 'test_avg_loss_bottom10%': np.float64(16.573225), 'test_avg_loss_top10%': np.float64(25.700104), 'test_avg_loss_cos1': np.float64(0.990776), 'test_avg_loss_entropy': np.float64(2.293551), 'test_loss_std': np.float64(9424.234732), 'test_loss_bottom_decile': np.float64(58386.289795), 'test_loss_top_decile': np.float64(90464.367004), 'test_loss_min': np.float64(58337.752197), 'test_loss_max': np.float64(90464.367004), 'test_loss_bottom10%': np.float64(58337.752197), 'test_loss_top10%': np.float64(90464.367004), 'test_loss_cos1': np.float64(0.990776), 'test_loss_entropy': np.float64(2.293551), 'val_avg_loss_std': np.float64(2.593452), 'val_avg_loss_bottom_decile': np.float64(17.298621), 'val_avg_loss_top_decile': np.float64(25.898156), 'val_avg_loss_min': np.float64(17.206492), 'val_avg_loss_max': np.float64(25.898156), 'val_avg_loss_bottom10%': np.float64(17.206492), 'val_avg_loss_top10%': np.float64(25.898156), 'val_avg_loss_cos1': np.float64(0.991841), 'val_avg_loss_entropy': np.float64(2.294542), 'val_loss_std': np.float64(9128.952592), 'val_loss_bottom_decile': np.float64(60891.14502), 'val_loss_top_decile': np.float64(91161.510559), 'val_loss_min': np.float64(60566.852295), 'val_loss_max': np.float64(91161.510559), 'val_loss_bottom10%': np.float64(60566.852295), 'val_loss_top10%': np.float64(91161.510559), 'val_loss_cos1': np.float64(0.991841), 'val_loss_entropy': np.float64(2.294542)}}
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2024-10-14 23:30:19,230 (server:353) INFO: Server: Starting evaluation at the end of round 92.
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2024-10-14 23:30:19,231 (server:359) INFO: ----------- Starting a new training round (Round #93) -------------
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2024-10-14 23:32:09,254 (client:354) INFO: {'Role': 'Client #7', 'Round': 93, 'Results_raw': {'train_loss': 10.948926, 'val_loss': 11.379501, 'test_loss': 10.648702}}
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2024-10-14 23:32:50,867 (client:354) INFO: {'Role': 'Client #8', 'Round': 93, 'Results_raw': {'train_loss': 13.673219, 'val_loss': 14.859627, 'test_loss': 13.382187}}
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2024-10-14 23:33:34,636 (client:354) INFO: {'Role': 'Client #9', 'Round': 93, 'Results_raw': {'train_loss': 14.595971, 'val_loss': 16.124708, 'test_loss': 14.553252}}
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2024-10-14 23:34:17,020 (client:354) INFO: {'Role': 'Client #3', 'Round': 93, 'Results_raw': {'train_loss': 17.129012, 'val_loss': 17.641636, 'test_loss': 17.743685}}
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2024-10-14 23:34:59,619 (client:354) INFO: {'Role': 'Client #5', 'Round': 93, 'Results_raw': {'train_loss': 11.429627, 'val_loss': 11.40972, 'test_loss': 11.506513}}
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2024-10-14 23:35:42,967 (client:354) INFO: {'Role': 'Client #6', 'Round': 93, 'Results_raw': {'train_loss': 11.63484, 'val_loss': 12.482686, 'test_loss': 12.89034}}
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2024-10-14 23:36:23,317 (client:354) INFO: {'Role': 'Client #1', 'Round': 93, 'Results_raw': {'train_loss': 19.288097, 'val_loss': 19.364205, 'test_loss': 19.836148}}
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2024-10-14 23:37:07,565 (client:354) INFO: {'Role': 'Client #10', 'Round': 93, 'Results_raw': {'train_loss': 13.515285, 'val_loss': 13.717657, 'test_loss': 14.360353}}
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2024-10-14 23:37:45,881 (client:354) INFO: {'Role': 'Client #4', 'Round': 93, 'Results_raw': {'train_loss': 14.178057, 'val_loss': 13.546197, 'test_loss': 14.122138}}
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2024-10-14 23:38:27,259 (client:354) INFO: {'Role': 'Client #2', 'Round': 93, 'Results_raw': {'train_loss': 15.202774, 'val_loss': 16.251556, 'test_loss': 16.071977}}
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2024-10-14 23:38:27,263 (server:615) INFO: {'Role': 'Server #', 'Round': 92, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.668383), 'test_loss': np.float64(69232.708063), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.264197), 'val_loss': np.float64(71329.97298), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.668383), 'test_loss': np.float64(69232.708063), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.264197), 'val_loss': np.float64(71329.97298), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.728889), 'test_avg_loss_bottom_decile': np.float64(16.803621), 'test_avg_loss_top_decile': np.float64(25.853882), 'test_avg_loss_min': np.float64(16.46092), 'test_avg_loss_max': np.float64(25.853882), 'test_avg_loss_bottom10%': np.float64(16.46092), 'test_avg_loss_top10%': np.float64(25.853882), 'test_avg_loss_cos1': np.float64(0.990512), 'test_avg_loss_entropy': np.float64(2.293275), 'test_loss_std': np.float64(9605.688128), 'test_loss_bottom_decile': np.float64(59148.745483), 'test_loss_top_decile': np.float64(91005.665466), 'test_loss_min': np.float64(57942.439453), 'test_loss_max': np.float64(91005.665466), 'test_loss_bottom10%': np.float64(57942.439453), 'test_loss_top10%': np.float64(91005.665466), 'test_loss_cos1': np.float64(0.990512), 'test_loss_entropy': np.float64(2.293275), 'val_avg_loss_std': np.float64(2.648791), 'val_avg_loss_bottom_decile': np.float64(17.408503), 'val_avg_loss_top_decile': np.float64(26.069556), 'val_avg_loss_min': np.float64(17.181367), 'val_avg_loss_max': np.float64(26.069556), 'val_avg_loss_bottom10%': np.float64(17.181367), 'val_avg_loss_top10%': np.float64(26.069556), 'val_avg_loss_cos1': np.float64(0.991565), 'val_avg_loss_entropy': np.float64(2.294263), 'val_loss_std': np.float64(9323.742964), 'val_loss_bottom_decile': np.float64(61277.931091), 'val_loss_top_decile': np.float64(91764.835815), 'val_loss_min': np.float64(60478.410828), 'val_loss_max': np.float64(91764.835815), 'val_loss_bottom10%': np.float64(60478.410828), 'val_loss_top10%': np.float64(91764.835815), 'val_loss_cos1': np.float64(0.991565), 'val_loss_entropy': np.float64(2.294263)}}
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2024-10-14 23:38:27,307 (server:353) INFO: Server: Starting evaluation at the end of round 93.
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2024-10-14 23:38:27,307 (server:359) INFO: ----------- Starting a new training round (Round #94) -------------
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2024-10-14 23:40:17,353 (client:354) INFO: {'Role': 'Client #4', 'Round': 94, 'Results_raw': {'train_loss': 14.207972, 'val_loss': 13.569426, 'test_loss': 14.367636}}
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2024-10-14 23:40:57,720 (client:354) INFO: {'Role': 'Client #9', 'Round': 94, 'Results_raw': {'train_loss': 14.444027, 'val_loss': 15.816199, 'test_loss': 14.542554}}
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2024-10-14 23:41:37,988 (client:354) INFO: {'Role': 'Client #8', 'Round': 94, 'Results_raw': {'train_loss': 13.742911, 'val_loss': 14.268533, 'test_loss': 13.058513}}
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2024-10-14 23:42:19,996 (client:354) INFO: {'Role': 'Client #10', 'Round': 94, 'Results_raw': {'train_loss': 13.580307, 'val_loss': 13.879343, 'test_loss': 14.356896}}
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2024-10-14 23:43:01,333 (client:354) INFO: {'Role': 'Client #3', 'Round': 94, 'Results_raw': {'train_loss': 17.125212, 'val_loss': 17.431492, 'test_loss': 17.656602}}
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2024-10-14 23:43:42,003 (client:354) INFO: {'Role': 'Client #6', 'Round': 94, 'Results_raw': {'train_loss': 11.573464, 'val_loss': 12.5316, 'test_loss': 12.827734}}
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2024-10-14 23:44:23,463 (client:354) INFO: {'Role': 'Client #5', 'Round': 94, 'Results_raw': {'train_loss': 11.355445, 'val_loss': 11.650146, 'test_loss': 11.577014}}
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2024-10-14 23:45:03,499 (client:354) INFO: {'Role': 'Client #1', 'Round': 94, 'Results_raw': {'train_loss': 19.288295, 'val_loss': 19.329484, 'test_loss': 19.707715}}
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2024-10-14 23:45:43,805 (client:354) INFO: {'Role': 'Client #2', 'Round': 94, 'Results_raw': {'train_loss': 15.150147, 'val_loss': 16.28219, 'test_loss': 16.228488}}
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2024-10-14 23:46:23,535 (client:354) INFO: {'Role': 'Client #7', 'Round': 94, 'Results_raw': {'train_loss': 11.046652, 'val_loss': 11.338673, 'test_loss': 10.631936}}
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2024-10-14 23:46:23,539 (server:615) INFO: {'Role': 'Server #', 'Round': 93, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.622482), 'test_loss': np.float64(69071.138037), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.211703), 'val_loss': np.float64(71145.196045), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.622482), 'test_loss': np.float64(69071.138037), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.211703), 'val_loss': np.float64(71145.196045), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.634502), 'test_avg_loss_bottom_decile': np.float64(16.651274), 'test_avg_loss_top_decile': np.float64(25.630566), 'test_avg_loss_min': np.float64(16.616266), 'test_avg_loss_max': np.float64(25.630566), 'test_avg_loss_bottom10%': np.float64(16.616266), 'test_avg_loss_top10%': np.float64(25.630566), 'test_avg_loss_cos1': np.float64(0.991107), 'test_avg_loss_entropy': np.float64(2.293867), 'test_loss_std': np.float64(9273.446654), 'test_loss_bottom_decile': np.float64(58612.484558), 'test_loss_top_decile': np.float64(90219.592102), 'test_loss_min': np.float64(58489.257874), 'test_loss_max': np.float64(90219.592102), 'test_loss_bottom10%': np.float64(58489.257874), 'test_loss_top10%': np.float64(90219.592102), 'test_loss_cos1': np.float64(0.991107), 'test_loss_entropy': np.float64(2.293867), 'val_avg_loss_std': np.float64(2.544098), 'val_avg_loss_bottom_decile': np.float64(17.370396), 'val_avg_loss_top_decile': np.float64(25.805356), 'val_avg_loss_min': np.float64(17.208739), 'val_avg_loss_max': np.float64(25.805356), 'val_avg_loss_bottom10%': np.float64(17.208739), 'val_avg_loss_top10%': np.float64(25.805356), 'val_avg_loss_cos1': np.float64(0.992171), 'val_avg_loss_entropy': np.float64(2.29486), 'val_loss_std': np.float64(8955.224323), 'val_loss_bottom_decile': np.float64(61143.795044), 'val_loss_top_decile': np.float64(90834.854431), 'val_loss_min': np.float64(60574.761169), 'val_loss_max': np.float64(90834.854431), 'val_loss_bottom10%': np.float64(60574.761169), 'val_loss_top10%': np.float64(90834.854431), 'val_loss_cos1': np.float64(0.992171), 'val_loss_entropy': np.float64(2.29486)}}
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2024-10-14 23:46:23,582 (server:353) INFO: Server: Starting evaluation at the end of round 94.
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2024-10-14 23:46:23,582 (server:359) INFO: ----------- Starting a new training round (Round #95) -------------
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2024-10-14 23:48:09,565 (client:354) INFO: {'Role': 'Client #10', 'Round': 95, 'Results_raw': {'train_loss': 13.4776, 'val_loss': 13.811549, 'test_loss': 14.427261}}
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2024-10-14 23:48:49,976 (client:354) INFO: {'Role': 'Client #4', 'Round': 95, 'Results_raw': {'train_loss': 14.144031, 'val_loss': 13.272703, 'test_loss': 13.882272}}
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2024-10-14 23:49:30,170 (client:354) INFO: {'Role': 'Client #3', 'Round': 95, 'Results_raw': {'train_loss': 17.160724, 'val_loss': 17.616923, 'test_loss': 17.743089}}
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2024-10-14 23:50:11,123 (client:354) INFO: {'Role': 'Client #9', 'Round': 95, 'Results_raw': {'train_loss': 14.513653, 'val_loss': 16.417377, 'test_loss': 14.657729}}
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2024-10-14 23:50:52,555 (client:354) INFO: {'Role': 'Client #1', 'Round': 95, 'Results_raw': {'train_loss': 19.256276, 'val_loss': 19.416243, 'test_loss': 19.851924}}
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2024-10-14 23:51:39,582 (client:354) INFO: {'Role': 'Client #5', 'Round': 95, 'Results_raw': {'train_loss': 11.37872, 'val_loss': 11.55239, 'test_loss': 11.542084}}
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2024-10-14 23:52:16,118 (client:354) INFO: {'Role': 'Client #2', 'Round': 95, 'Results_raw': {'train_loss': 15.165255, 'val_loss': 16.36166, 'test_loss': 16.233879}}
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2024-10-14 23:52:55,081 (client:354) INFO: {'Role': 'Client #6', 'Round': 95, 'Results_raw': {'train_loss': 11.63357, 'val_loss': 12.52691, 'test_loss': 12.894601}}
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2024-10-14 23:53:34,942 (client:354) INFO: {'Role': 'Client #8', 'Round': 95, 'Results_raw': {'train_loss': 13.73668, 'val_loss': 14.398897, 'test_loss': 13.286888}}
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2024-10-14 23:54:16,337 (client:354) INFO: {'Role': 'Client #7', 'Round': 95, 'Results_raw': {'train_loss': 10.934659, 'val_loss': 11.397219, 'test_loss': 10.633978}}
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2024-10-14 23:54:16,342 (server:615) INFO: {'Role': 'Server #', 'Round': 94, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.584933), 'test_loss': np.float64(68938.963269), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.183328), 'val_loss': np.float64(71045.314874), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.584933), 'test_loss': np.float64(68938.963269), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.183328), 'val_loss': np.float64(71045.314874), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.64722), 'test_avg_loss_bottom_decile': np.float64(16.725296), 'test_avg_loss_top_decile': np.float64(25.611733), 'test_avg_loss_min': np.float64(16.56009), 'test_avg_loss_max': np.float64(25.611733), 'test_avg_loss_bottom10%': np.float64(16.56009), 'test_avg_loss_top10%': np.float64(25.611733), 'test_avg_loss_cos1': np.float64(0.990988), 'test_avg_loss_entropy': np.float64(2.293756), 'test_loss_std': np.float64(9318.214488), 'test_loss_bottom_decile': np.float64(58873.042725), 'test_loss_top_decile': np.float64(90153.300232), 'test_loss_min': np.float64(58291.515076), 'test_loss_max': np.float64(90153.300232), 'test_loss_bottom10%': np.float64(58291.515076), 'test_loss_top10%': np.float64(90153.300232), 'test_loss_cos1': np.float64(0.990988), 'test_loss_entropy': np.float64(2.293756), 'val_avg_loss_std': np.float64(2.565319), 'val_avg_loss_bottom_decile': np.float64(17.45641), 'val_avg_loss_top_decile': np.float64(25.818113), 'val_avg_loss_min': np.float64(17.182358), 'val_avg_loss_max': np.float64(25.818113), 'val_avg_loss_bottom10%': np.float64(17.182358), 'val_avg_loss_top10%': np.float64(25.818113), 'val_avg_loss_cos1': np.float64(0.992019), 'val_avg_loss_entropy': np.float64(2.294717), 'val_loss_std': np.float64(9029.923106), 'val_loss_bottom_decile': np.float64(61446.561462), 'val_loss_top_decile': np.float64(90879.756653), 'val_loss_min': np.float64(60481.899048), 'val_loss_max': np.float64(90879.756653), 'val_loss_bottom10%': np.float64(60481.899048), 'val_loss_top10%': np.float64(90879.756653), 'val_loss_cos1': np.float64(0.992019), 'val_loss_entropy': np.float64(2.294717)}}
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2024-10-14 23:54:16,380 (server:353) INFO: Server: Starting evaluation at the end of round 95.
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2024-10-14 23:54:16,381 (server:359) INFO: ----------- Starting a new training round (Round #96) -------------
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2024-10-14 23:56:01,675 (client:354) INFO: {'Role': 'Client #3', 'Round': 96, 'Results_raw': {'train_loss': 17.116132, 'val_loss': 17.585803, 'test_loss': 17.763215}}
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2024-10-14 23:56:43,618 (client:354) INFO: {'Role': 'Client #6', 'Round': 96, 'Results_raw': {'train_loss': 11.591413, 'val_loss': 12.562838, 'test_loss': 12.961733}}
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2024-10-14 23:57:24,856 (client:354) INFO: {'Role': 'Client #8', 'Round': 96, 'Results_raw': {'train_loss': 13.668953, 'val_loss': 14.316186, 'test_loss': 13.195342}}
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2024-10-14 23:58:05,675 (client:354) INFO: {'Role': 'Client #10', 'Round': 96, 'Results_raw': {'train_loss': 13.4884, 'val_loss': 13.635642, 'test_loss': 14.25089}}
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2024-10-14 23:58:46,486 (client:354) INFO: {'Role': 'Client #1', 'Round': 96, 'Results_raw': {'train_loss': 19.225213, 'val_loss': 19.464731, 'test_loss': 19.901523}}
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2024-10-14 23:59:28,612 (client:354) INFO: {'Role': 'Client #5', 'Round': 96, 'Results_raw': {'train_loss': 11.379231, 'val_loss': 11.512487, 'test_loss': 11.56147}}
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2024-10-15 00:00:09,572 (client:354) INFO: {'Role': 'Client #4', 'Round': 96, 'Results_raw': {'train_loss': 14.155813, 'val_loss': 13.368594, 'test_loss': 14.119581}}
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2024-10-15 00:00:52,022 (client:354) INFO: {'Role': 'Client #7', 'Round': 96, 'Results_raw': {'train_loss': 10.983731, 'val_loss': 11.333316, 'test_loss': 10.629157}}
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2024-10-15 00:01:33,981 (client:354) INFO: {'Role': 'Client #9', 'Round': 96, 'Results_raw': {'train_loss': 14.509664, 'val_loss': 16.042304, 'test_loss': 14.585263}}
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2024-10-15 00:02:15,624 (client:354) INFO: {'Role': 'Client #2', 'Round': 96, 'Results_raw': {'train_loss': 15.199002, 'val_loss': 16.217212, 'test_loss': 16.07835}}
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2024-10-15 00:02:15,628 (server:615) INFO: {'Role': 'Server #', 'Round': 95, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.578335), 'test_loss': np.float64(68915.740143), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.16254), 'val_loss': np.float64(70972.141333), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.578335), 'test_loss': np.float64(68915.740143), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.16254), 'val_loss': np.float64(70972.141333), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.678547), 'test_avg_loss_bottom_decile': np.float64(16.70528), 'test_avg_loss_top_decile': np.float64(25.639912), 'test_avg_loss_min': np.float64(16.525105), 'test_avg_loss_max': np.float64(25.639912), 'test_avg_loss_bottom10%': np.float64(16.525105), 'test_avg_loss_top10%': np.float64(25.639912), 'test_avg_loss_cos1': np.float64(0.990771), 'test_avg_loss_entropy': np.float64(2.293532), 'test_loss_std': np.float64(9428.487187), 'test_loss_bottom_decile': np.float64(58802.586487), 'test_loss_top_decile': np.float64(90252.491638), 'test_loss_min': np.float64(58168.369446), 'test_loss_max': np.float64(90252.491638), 'test_loss_bottom10%': np.float64(58168.369446), 'test_loss_top10%': np.float64(90252.491638), 'test_loss_cos1': np.float64(0.990771), 'test_loss_entropy': np.float64(2.293532), 'val_avg_loss_std': np.float64(2.597885), 'val_avg_loss_bottom_decile': np.float64(17.309025), 'val_avg_loss_top_decile': np.float64(25.820509), 'val_avg_loss_min': np.float64(17.247022), 'val_avg_loss_max': np.float64(25.820509), 'val_avg_loss_bottom10%': np.float64(17.247022), 'val_avg_loss_top10%': np.float64(25.820509), 'val_avg_loss_cos1': np.float64(0.991801), 'val_avg_loss_entropy': np.float64(2.294495), 'val_loss_std': np.float64(9144.555653), 'val_loss_bottom_decile': np.float64(60927.766724), 'val_loss_top_decile': np.float64(90888.190735), 'val_loss_min': np.float64(60709.518188), 'val_loss_max': np.float64(90888.190735), 'val_loss_bottom10%': np.float64(60709.518188), 'val_loss_top10%': np.float64(90888.190735), 'val_loss_cos1': np.float64(0.991801), 'val_loss_entropy': np.float64(2.294495)}}
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2024-10-15 00:02:15,664 (server:353) INFO: Server: Starting evaluation at the end of round 96.
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2024-10-15 00:02:15,665 (server:359) INFO: ----------- Starting a new training round (Round #97) -------------
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2024-10-15 00:04:08,740 (client:354) INFO: {'Role': 'Client #9', 'Round': 97, 'Results_raw': {'train_loss': 14.493968, 'val_loss': 15.783419, 'test_loss': 14.486342}}
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2024-10-15 00:04:47,935 (client:354) INFO: {'Role': 'Client #6', 'Round': 97, 'Results_raw': {'train_loss': 11.559919, 'val_loss': 12.483378, 'test_loss': 12.954803}}
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2024-10-15 00:05:28,188 (client:354) INFO: {'Role': 'Client #1', 'Round': 97, 'Results_raw': {'train_loss': 19.258304, 'val_loss': 19.206299, 'test_loss': 19.642607}}
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2024-10-15 00:06:07,861 (client:354) INFO: {'Role': 'Client #8', 'Round': 97, 'Results_raw': {'train_loss': 13.734494, 'val_loss': 14.485176, 'test_loss': 13.189426}}
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2024-10-15 00:06:47,654 (client:354) INFO: {'Role': 'Client #7', 'Round': 97, 'Results_raw': {'train_loss': 10.948657, 'val_loss': 11.388057, 'test_loss': 10.694288}}
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2024-10-15 00:07:29,208 (client:354) INFO: {'Role': 'Client #4', 'Round': 97, 'Results_raw': {'train_loss': 14.151706, 'val_loss': 13.367331, 'test_loss': 14.023263}}
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2024-10-15 00:08:10,402 (client:354) INFO: {'Role': 'Client #2', 'Round': 97, 'Results_raw': {'train_loss': 15.163121, 'val_loss': 16.434892, 'test_loss': 16.337723}}
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2024-10-15 00:08:51,965 (client:354) INFO: {'Role': 'Client #5', 'Round': 97, 'Results_raw': {'train_loss': 11.351784, 'val_loss': 11.30592, 'test_loss': 11.462218}}
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2024-10-15 00:09:34,093 (client:354) INFO: {'Role': 'Client #3', 'Round': 97, 'Results_raw': {'train_loss': 17.095142, 'val_loss': 17.595992, 'test_loss': 17.789345}}
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2024-10-15 00:10:13,737 (client:354) INFO: {'Role': 'Client #10', 'Round': 97, 'Results_raw': {'train_loss': 13.511487, 'val_loss': 13.827529, 'test_loss': 14.367062}}
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2024-10-15 00:10:13,742 (server:615) INFO: {'Role': 'Server #', 'Round': 96, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.555646), 'test_loss': np.float64(68835.87287), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.141294), 'val_loss': np.float64(70897.354083), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.555646), 'test_loss': np.float64(68835.87287), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.141294), 'val_loss': np.float64(70897.354083), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.655145), 'test_avg_loss_bottom_decile': np.float64(16.653845), 'test_avg_loss_top_decile': np.float64(25.580168), 'test_avg_loss_min': np.float64(16.53848), 'test_avg_loss_max': np.float64(25.580168), 'test_avg_loss_bottom10%': np.float64(16.53848), 'test_avg_loss_top10%': np.float64(25.580168), 'test_avg_loss_cos1': np.float64(0.990908), 'test_avg_loss_entropy': np.float64(2.293669), 'test_loss_std': np.float64(9346.110856), 'test_loss_bottom_decile': np.float64(58621.533691), 'test_loss_top_decile': np.float64(90042.190857), 'test_loss_min': np.float64(58215.44989), 'test_loss_max': np.float64(90042.190857), 'test_loss_bottom10%': np.float64(58215.44989), 'test_loss_top10%': np.float64(90042.190857), 'test_loss_cos1': np.float64(0.990908), 'test_loss_entropy': np.float64(2.293669), 'val_avg_loss_std': np.float64(2.576561), 'val_avg_loss_bottom_decile': np.float64(17.265533), 'val_avg_loss_top_decile': np.float64(25.778345), 'val_avg_loss_min': np.float64(17.263759), 'val_avg_loss_max': np.float64(25.778345), 'val_avg_loss_bottom10%': np.float64(17.263759), 'val_avg_loss_top10%': np.float64(25.778345), 'val_avg_loss_cos1': np.float64(0.991917), 'val_avg_loss_entropy': np.float64(2.294612), 'val_loss_std': np.float64(9069.49574), 'val_loss_bottom_decile': np.float64(60774.67688), 'val_loss_top_decile': np.float64(90739.773804), 'val_loss_min': np.float64(60768.431763), 'val_loss_max': np.float64(90739.773804), 'val_loss_bottom10%': np.float64(60768.431763), 'val_loss_top10%': np.float64(90739.773804), 'val_loss_cos1': np.float64(0.991917), 'val_loss_entropy': np.float64(2.294612)}}
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2024-10-15 00:10:13,781 (server:353) INFO: Server: Starting evaluation at the end of round 97.
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2024-10-15 00:10:13,782 (server:359) INFO: ----------- Starting a new training round (Round #98) -------------
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2024-10-15 00:11:58,692 (client:354) INFO: {'Role': 'Client #4', 'Round': 98, 'Results_raw': {'train_loss': 14.137366, 'val_loss': 13.403804, 'test_loss': 14.072626}}
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2024-10-15 00:12:40,483 (client:354) INFO: {'Role': 'Client #10', 'Round': 98, 'Results_raw': {'train_loss': 13.505451, 'val_loss': 13.857455, 'test_loss': 14.362614}}
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2024-10-15 00:13:19,577 (client:354) INFO: {'Role': 'Client #7', 'Round': 98, 'Results_raw': {'train_loss': 10.946311, 'val_loss': 11.575145, 'test_loss': 10.83593}}
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2024-10-15 00:14:01,516 (client:354) INFO: {'Role': 'Client #5', 'Round': 98, 'Results_raw': {'train_loss': 11.359191, 'val_loss': 11.377403, 'test_loss': 11.369896}}
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2024-10-15 00:14:42,778 (client:354) INFO: {'Role': 'Client #2', 'Round': 98, 'Results_raw': {'train_loss': 15.168918, 'val_loss': 16.381478, 'test_loss': 16.201065}}
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2024-10-15 00:15:23,922 (client:354) INFO: {'Role': 'Client #6', 'Round': 98, 'Results_raw': {'train_loss': 11.580783, 'val_loss': 12.633049, 'test_loss': 13.134501}}
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2024-10-15 00:16:05,070 (client:354) INFO: {'Role': 'Client #3', 'Round': 98, 'Results_raw': {'train_loss': 17.110559, 'val_loss': 17.539747, 'test_loss': 17.687058}}
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2024-10-15 00:16:44,789 (client:354) INFO: {'Role': 'Client #1', 'Round': 98, 'Results_raw': {'train_loss': 19.269698, 'val_loss': 19.401893, 'test_loss': 19.868276}}
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2024-10-15 00:17:24,800 (client:354) INFO: {'Role': 'Client #9', 'Round': 98, 'Results_raw': {'train_loss': 14.455269, 'val_loss': 16.075989, 'test_loss': 14.60188}}
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2024-10-15 00:18:06,281 (client:354) INFO: {'Role': 'Client #8', 'Round': 98, 'Results_raw': {'train_loss': 13.708027, 'val_loss': 14.830007, 'test_loss': 13.357676}}
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2024-10-15 00:18:06,285 (server:615) INFO: {'Role': 'Server #', 'Round': 97, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.47471), 'test_loss': np.float64(68550.980554), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.056586), 'val_loss': np.float64(70599.181146), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.47471), 'test_loss': np.float64(68550.980554), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.056586), 'val_loss': np.float64(70599.181146), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.696078), 'test_avg_loss_bottom_decile': np.float64(16.586166), 'test_avg_loss_top_decile': np.float64(25.609013), 'test_avg_loss_min': np.float64(16.359239), 'test_avg_loss_max': np.float64(25.609013), 'test_avg_loss_bottom10%': np.float64(16.359239), 'test_avg_loss_top10%': np.float64(25.609013), 'test_avg_loss_cos1': np.float64(0.990553), 'test_avg_loss_entropy': np.float64(2.29333), 'test_loss_std': np.float64(9490.195647), 'test_loss_bottom_decile': np.float64(58383.303101), 'test_loss_top_decile': np.float64(90143.726685), 'test_loss_min': np.float64(57584.522278), 'test_loss_max': np.float64(90143.726685), 'test_loss_bottom10%': np.float64(57584.522278), 'test_loss_top10%': np.float64(90143.726685), 'test_loss_cos1': np.float64(0.990553), 'test_loss_entropy': np.float64(2.29333), 'val_avg_loss_std': np.float64(2.618396), 'val_avg_loss_bottom_decile': np.float64(17.186791), 'val_avg_loss_top_decile': np.float64(25.827738), 'val_avg_loss_min': np.float64(17.083056), 'val_avg_loss_max': np.float64(25.827738), 'val_avg_loss_bottom10%': np.float64(17.083056), 'val_avg_loss_top10%': np.float64(25.827738), 'val_avg_loss_cos1': np.float64(0.991586), 'val_avg_loss_entropy': np.float64(2.294295), 'val_loss_std': np.float64(9216.755512), 'val_loss_bottom_decile': np.float64(60497.504578), 'val_loss_top_decile': np.float64(90913.639038), 'val_loss_min': np.float64(60132.355713), 'val_loss_max': np.float64(90913.639038), 'val_loss_bottom10%': np.float64(60132.355713), 'val_loss_top10%': np.float64(90913.639038), 'val_loss_cos1': np.float64(0.991586), 'val_loss_entropy': np.float64(2.294295)}}
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2024-10-15 00:18:06,329 (server:353) INFO: Server: Starting evaluation at the end of round 98.
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2024-10-15 00:18:06,330 (server:359) INFO: ----------- Starting a new training round (Round #99) -------------
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2024-10-15 00:19:51,300 (client:354) INFO: {'Role': 'Client #1', 'Round': 99, 'Results_raw': {'train_loss': 19.239088, 'val_loss': 19.398882, 'test_loss': 19.879825}}
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2024-10-15 00:20:30,522 (client:354) INFO: {'Role': 'Client #5', 'Round': 99, 'Results_raw': {'train_loss': 11.393044, 'val_loss': 11.643398, 'test_loss': 11.58953}}
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2024-10-15 00:21:11,075 (client:354) INFO: {'Role': 'Client #10', 'Round': 99, 'Results_raw': {'train_loss': 13.581411, 'val_loss': 13.815608, 'test_loss': 14.387322}}
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2024-10-15 00:21:51,296 (client:354) INFO: {'Role': 'Client #3', 'Round': 99, 'Results_raw': {'train_loss': 17.085295, 'val_loss': 17.585457, 'test_loss': 17.742072}}
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2024-10-15 00:22:32,209 (client:354) INFO: {'Role': 'Client #4', 'Round': 99, 'Results_raw': {'train_loss': 14.110809, 'val_loss': 13.241488, 'test_loss': 13.817368}}
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2024-10-15 00:23:14,025 (client:354) INFO: {'Role': 'Client #9', 'Round': 99, 'Results_raw': {'train_loss': 14.453317, 'val_loss': 16.104356, 'test_loss': 14.652513}}
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2024-10-15 00:23:55,966 (client:354) INFO: {'Role': 'Client #8', 'Round': 99, 'Results_raw': {'train_loss': 13.672843, 'val_loss': 14.515884, 'test_loss': 13.157707}}
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2024-10-15 00:24:37,418 (client:354) INFO: {'Role': 'Client #2', 'Round': 99, 'Results_raw': {'train_loss': 15.168653, 'val_loss': 16.389379, 'test_loss': 16.121264}}
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2024-10-15 00:25:15,680 (client:354) INFO: {'Role': 'Client #6', 'Round': 99, 'Results_raw': {'train_loss': 11.573135, 'val_loss': 12.490229, 'test_loss': 12.90973}}
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2024-10-15 00:25:55,860 (client:354) INFO: {'Role': 'Client #7', 'Round': 99, 'Results_raw': {'train_loss': 10.963228, 'val_loss': 11.340787, 'test_loss': 10.699292}}
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2024-10-15 00:25:55,864 (server:615) INFO: {'Role': 'Server #', 'Round': 98, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.483114), 'test_loss': np.float64(68580.561304), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.077914), 'val_loss': np.float64(70674.258911), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.483114), 'test_loss': np.float64(68580.561304), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.077914), 'val_loss': np.float64(70674.258911), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.682956), 'test_avg_loss_bottom_decile': np.float64(16.622596), 'test_avg_loss_top_decile': np.float64(25.559346), 'test_avg_loss_min': np.float64(16.363201), 'test_avg_loss_max': np.float64(25.559346), 'test_avg_loss_bottom10%': np.float64(16.363201), 'test_avg_loss_top10%': np.float64(25.559346), 'test_avg_loss_cos1': np.float64(0.990651), 'test_avg_loss_entropy': np.float64(2.293415), 'test_loss_std': np.float64(9444.006012), 'test_loss_bottom_decile': np.float64(58511.538025), 'test_loss_top_decile': np.float64(89968.899109), 'test_loss_min': np.float64(57598.467163), 'test_loss_max': np.float64(89968.899109), 'test_loss_bottom10%': np.float64(57598.467163), 'test_loss_top10%': np.float64(89968.899109), 'test_loss_cos1': np.float64(0.990651), 'test_loss_entropy': np.float64(2.293415), 'val_avg_loss_std': np.float64(2.602022), 'val_avg_loss_bottom_decile': np.float64(17.255771), 'val_avg_loss_top_decile': np.float64(25.784101), 'val_avg_loss_min': np.float64(17.095962), 'val_avg_loss_max': np.float64(25.784101), 'val_avg_loss_bottom10%': np.float64(17.095962), 'val_avg_loss_top10%': np.float64(25.784101), 'val_avg_loss_cos1': np.float64(0.991707), 'val_avg_loss_entropy': np.float64(2.294405), 'val_loss_std': np.float64(9159.117601), 'val_loss_bottom_decile': np.float64(60740.313721), 'val_loss_top_decile': np.float64(90760.034668), 'val_loss_min': np.float64(60177.785889), 'val_loss_max': np.float64(90760.034668), 'val_loss_bottom10%': np.float64(60177.785889), 'val_loss_top10%': np.float64(90760.034668), 'val_loss_cos1': np.float64(0.991707), 'val_loss_entropy': np.float64(2.294405)}}
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2024-10-15 00:25:55,909 (server:370) INFO: Server: Training is finished! Starting evaluation.
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2024-10-15 00:27:06,454 (server:615) INFO: {'Role': 'Server #', 'Round': 99, 'Results_weighted_avg': {'test_avg_loss': np.float64(19.494879), 'test_loss': np.float64(68621.973682), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.075588), 'val_loss': np.float64(70666.069611), 'val_total': np.float64(3520.0)}, 'Results_avg': {'test_avg_loss': np.float64(19.494879), 'test_loss': np.float64(68621.973682), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.075588), 'val_loss': np.float64(70666.069611), 'val_total': np.float64(3520.0)}, 'Results_fairness': {'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(2.640625), 'test_avg_loss_bottom_decile': np.float64(16.679175), 'test_avg_loss_top_decile': np.float64(25.515295), 'test_avg_loss_min': np.float64(16.49797), 'test_avg_loss_max': np.float64(25.515295), 'test_avg_loss_bottom10%': np.float64(16.49797), 'test_avg_loss_top10%': np.float64(25.515295), 'test_avg_loss_cos1': np.float64(0.990951), 'test_avg_loss_entropy': np.float64(2.29372), 'test_loss_std': np.float64(9295.001544), 'test_loss_bottom_decile': np.float64(58710.694824), 'test_loss_top_decile': np.float64(89813.838867), 'test_loss_min': np.float64(58072.85498), 'test_loss_max': np.float64(89813.838867), 'test_loss_bottom10%': np.float64(58072.85498), 'test_loss_top10%': np.float64(89813.838867), 'test_loss_cos1': np.float64(0.990951), 'test_loss_entropy': np.float64(2.29372), 'val_avg_loss_std': np.float64(2.555368), 'val_avg_loss_bottom_decile': np.float64(17.272585), 'val_avg_loss_top_decile': np.float64(25.720396), 'val_avg_loss_min': np.float64(17.226143), 'val_avg_loss_max': np.float64(25.720396), 'val_avg_loss_bottom10%': np.float64(17.226143), 'val_avg_loss_top10%': np.float64(25.720396), 'val_avg_loss_cos1': np.float64(0.991996), 'val_avg_loss_entropy': np.float64(2.294699), 'val_loss_std': np.float64(8994.89614), 'val_loss_bottom_decile': np.float64(60799.498962), 'val_loss_top_decile': np.float64(90535.793335), 'val_loss_min': np.float64(60636.022583), 'val_loss_max': np.float64(90535.793335), 'val_loss_bottom10%': np.float64(60636.022583), 'val_loss_top10%': np.float64(90535.793335), 'val_loss_cos1': np.float64(0.991996), 'val_loss_entropy': np.float64(2.294699)}}
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2024-10-15 00:27:06,457 (server:420) INFO: Server: Final evaluation is finished! Starting merging results.
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2024-10-15 00:27:06,457 (server:546) INFO: {'Role': 'Server #', 'Round': 'Final', 'Results_raw': {'client_best_individual': {'val_loss': 60111.187805, 'test_avg_loss': 16.349969, 'test_loss': 57551.891785, 'test_total': 3520.0, 'val_avg_loss': 17.077042, 'val_total': 3520.0}, 'client_summarized_weighted_avg': {'val_loss': np.float64(70599.181146), 'test_avg_loss': np.float64(19.47471), 'test_loss': np.float64(68550.980554), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.056586), 'val_total': np.float64(3520.0)}, 'client_summarized_avg': {'val_loss': np.float64(70599.181146), 'test_avg_loss': np.float64(19.47471), 'test_loss': np.float64(68550.980554), 'test_total': np.float64(3520.0), 'val_avg_loss': np.float64(20.056586), 'val_total': np.float64(3520.0)}, 'client_summarized_fairness': {'val_loss_entropy': np.float64(2.288947), 'val_loss_cos1': np.float64(0.987124), 'val_loss_top10%': np.float64(150014.46875), 'val_loss_bottom10%': np.float64(85631.694336), 'val_loss_max': np.float64(150014.46875), 'val_loss_min': np.float64(85631.694336), 'val_loss_top_decile': np.float64(150014.46875), 'val_loss_bottom_decile': np.float64(88455.812256), 'val_loss_std': np.float64(19405.198937), 'test_total': np.float64(3520.0), 'val_total': np.float64(3520.0), 'test_avg_loss_std': np.float64(5.471148), 'test_avg_loss_bottom_decile': np.float64(24.439439), 'test_avg_loss_top_decile': np.float64(41.805026), 'test_avg_loss_min': np.float64(23.591704), 'test_avg_loss_max': np.float64(41.805026), 'test_avg_loss_bottom10%': np.float64(23.591704), 'test_avg_loss_top10%': np.float64(41.805026), 'test_avg_loss_cos1': np.float64(0.986672), 'test_avg_loss_entropy': np.float64(2.288485), 'test_loss_std': np.float64(19258.441789), 'test_loss_bottom_decile': np.float64(86026.826294), 'test_loss_top_decile': np.float64(147153.692505), 'test_loss_min': np.float64(83042.796753), 'test_loss_max': np.float64(147153.692505), 'test_loss_bottom10%': np.float64(83042.796753), 'test_loss_top10%': np.float64(147153.692505), 'test_loss_cos1': np.float64(0.986672), 'test_loss_entropy': np.float64(2.288485), 'val_avg_loss_std': np.float64(5.512841), 'val_avg_loss_bottom_decile': np.float64(25.129492), 'val_avg_loss_top_decile': np.float64(42.617747), 'val_avg_loss_min': np.float64(24.327186), 'val_avg_loss_max': np.float64(42.617747), 'val_avg_loss_bottom10%': np.float64(24.327186), 'val_avg_loss_top10%': np.float64(42.617747), 'val_avg_loss_cos1': np.float64(0.987124), 'val_avg_loss_entropy': np.float64(2.288947)}}}
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2024-10-15 00:27:06,460 (server:565) INFO: {'Role': 'Client #1', 'Round': 100, 'Results_raw': {'test_avg_loss': 25.515295, 'test_loss': 89813.838867, 'test_total': 3520, 'val_avg_loss': 25.720396, 'val_loss': 90535.793335, 'val_total': 3520}}
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2024-10-15 00:27:06,460 (server:565) INFO: {'Role': 'Client #2', 'Round': 100, 'Results_raw': {'test_avg_loss': 20.457089, 'test_loss': 72008.951965, 'test_total': 3520, 'val_avg_loss': 20.676731, 'val_loss': 72782.093506, 'val_total': 3520}}
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2024-10-15 00:27:06,460 (server:565) INFO: {'Role': 'Client #3', 'Round': 100, 'Results_raw': {'test_avg_loss': 22.197389, 'test_loss': 78134.80896, 'test_total': 3520, 'val_avg_loss': 22.290272, 'val_loss': 78461.75708, 'val_total': 3520}}
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2024-10-15 00:27:06,461 (server:565) INFO: {'Role': 'Client #4', 'Round': 100, 'Results_raw': {'test_avg_loss': 18.222161, 'test_loss': 64142.007263, 'test_total': 3520, 'val_avg_loss': 18.569577, 'val_loss': 65364.911072, 'val_total': 3520}}
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2024-10-15 00:27:06,461 (server:565) INFO: {'Role': 'Client #5', 'Round': 100, 'Results_raw': {'test_avg_loss': 16.679175, 'test_loss': 58710.694824, 'test_total': 3520, 'val_avg_loss': 17.272585, 'val_loss': 60799.498962, 'val_total': 3520}}
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2024-10-15 00:27:06,461 (server:565) INFO: {'Role': 'Client #6', 'Round': 100, 'Results_raw': {'test_avg_loss': 17.006406, 'test_loss': 59862.547363, 'test_total': 3520, 'val_avg_loss': 17.75251, 'val_loss': 62488.83374, 'val_total': 3520}}
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2024-10-15 00:27:06,462 (server:565) INFO: {'Role': 'Client #7', 'Round': 100, 'Results_raw': {'test_avg_loss': 16.49797, 'test_loss': 58072.85498, 'test_total': 3520, 'val_avg_loss': 17.226143, 'val_loss': 60636.022583, 'val_total': 3520}}
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2024-10-15 00:27:06,462 (server:565) INFO: {'Role': 'Client #8', 'Round': 100, 'Results_raw': {'test_avg_loss': 19.646506, 'test_loss': 69155.7005, 'test_total': 3520, 'val_avg_loss': 21.48861, 'val_loss': 75639.90625, 'val_total': 3520}}
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2024-10-15 00:27:06,463 (server:565) INFO: {'Role': 'Client #9', 'Round': 100, 'Results_raw': {'test_avg_loss': 19.850575, 'test_loss': 69874.024841, 'test_total': 3520, 'val_avg_loss': 20.987359, 'val_loss': 73875.504333, 'val_total': 3520}}
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2024-10-15 00:27:06,463 (server:565) INFO: {'Role': 'Client #10', 'Round': 100, 'Results_raw': {'test_avg_loss': 18.876224, 'test_loss': 66444.307251, 'test_total': 3520, 'val_avg_loss': 18.771698, 'val_loss': 66076.375244, 'val_total': 3520}}
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2024-10-15 00:27:06,464 (monitor:173) INFO: In worker #0, the system-related metrics are: {'id': 0, 'fl_end_time_minutes': 805.422836, 'total_model_size': 0, 'total_flops': 0, 'total_upload_bytes': 0, 'total_download_bytes': 16839256, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,470 (client:582) INFO: ================= client 1 received finish message =================
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2024-10-15 00:27:06,478 (monitor:173) INFO: In worker #1, the system-related metrics are: {'id': 1, 'fl_end_time_minutes': 805.422791, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,478 (client:582) INFO: ================= client 2 received finish message =================
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2024-10-15 00:27:06,486 (monitor:173) INFO: In worker #2, the system-related metrics are: {'id': 2, 'fl_end_time_minutes': 805.422551, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,486 (client:582) INFO: ================= client 3 received finish message =================
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2024-10-15 00:27:06,494 (monitor:173) INFO: In worker #3, the system-related metrics are: {'id': 3, 'fl_end_time_minutes': 805.422341, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,494 (client:582) INFO: ================= client 4 received finish message =================
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2024-10-15 00:27:06,502 (monitor:173) INFO: In worker #4, the system-related metrics are: {'id': 4, 'fl_end_time_minutes': 805.42218, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,502 (client:582) INFO: ================= client 5 received finish message =================
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2024-10-15 00:27:06,510 (monitor:173) INFO: In worker #5, the system-related metrics are: {'id': 5, 'fl_end_time_minutes': 805.421997, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,511 (client:582) INFO: ================= client 6 received finish message =================
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2024-10-15 00:27:06,518 (monitor:173) INFO: In worker #6, the system-related metrics are: {'id': 6, 'fl_end_time_minutes': 805.421826, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,518 (client:582) INFO: ================= client 7 received finish message =================
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2024-10-15 00:27:06,524 (monitor:173) INFO: In worker #7, the system-related metrics are: {'id': 7, 'fl_end_time_minutes': 805.421675, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,524 (client:582) INFO: ================= client 8 received finish message =================
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2024-10-15 00:27:06,528 (monitor:173) INFO: In worker #8, the system-related metrics are: {'id': 8, 'fl_end_time_minutes': 805.4215, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,529 (client:582) INFO: ================= client 9 received finish message =================
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2024-10-15 00:27:06,532 (monitor:173) INFO: In worker #9, the system-related metrics are: {'id': 9, 'fl_end_time_minutes': 805.42131, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,532 (client:582) INFO: ================= client 10 received finish message =================
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2024-10-15 00:27:06,535 (monitor:173) INFO: In worker #10, the system-related metrics are: {'id': 10, 'fl_end_time_minutes': 805.421108, 'total_model_size': 563454, 'total_flops': 16171249142400.0, 'total_upload_bytes': 0, 'total_download_bytes': 3707200, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}
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2024-10-15 00:27:06,536 (monitor:338) INFO: We will compress the file eval_results.raw into a .gz file, and delete the old one
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2024-10-15 00:27:06,581 (monitor:246) INFO: After merging the system metrics from all works, we got avg: defaultdict(None, {'id': 'sys_avg', 'sys_avg/fl_end_time_minutes': np.float64(805.422011), 'sys_avg/total_model_size': '500.23K', 'sys_avg/total_flops': '13.37T', 'sys_avg/total_upload_bytes': '0.0', 'sys_avg/total_download_bytes': '4.67M', 'sys_avg/global_convergence_round': np.float64(0.0), 'sys_avg/local_convergence_round': np.float64(0.0), 'sys_avg/global_convergence_time_minutes': np.float64(0.0), 'sys_avg/local_convergence_time_minutes': np.float64(0.0)})
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2024-10-15 00:27:06,582 (monitor:249) INFO: After merging the system metrics from all works, we got std: defaultdict(None, {'id': 'sys_std', 'sys_std/fl_end_time_minutes': np.float64(0.000559), 'sys_std/total_model_size': '158.19K', 'sys_std/total_flops': '4.23T', 'sys_std/total_upload_bytes': '0.0', 'sys_std/total_download_bytes': '3.6M', 'sys_std/global_convergence_round': np.float64(0.0), 'sys_std/local_convergence_round': np.float64(0.0), 'sys_std/global_convergence_time_minutes': np.float64(0.0), 'sys_std/local_convergence_time_minutes': np.float64(0.0)})
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