201 lines
3.2 KiB
YAML
201 lines
3.2 KiB
YAML
asyn:
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min_received_num: 1
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min_received_rate: -1
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timeout: 3
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use: true
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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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info_diff_type: l2
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inject_round: 0
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max_ite: 400
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reconstruct_lr: 0.01
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reconstruct_optim: Adam
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target_label_ind: -1
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backend: torch
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cfg_file: ''
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criterion:
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type: CrossEntropyLoss
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data:
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save_data: false
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args: []
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batch_size: 32
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cSBM_phi:
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- 0.5
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- 0.5
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- 0.5
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drop_last: false
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graphsaint:
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num_steps: 30
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walk_length: 2
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loader: ''
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num_workers: 0
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pre_transform: []
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root: data/
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shuffle: true
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sizes:
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- 10
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- 5
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splits:
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- 0.6
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- 0.2
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- 0.2
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splitter: ''
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splitter_args: []
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subsample: 0.05
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target_transform: []
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transform:
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- - ToTensor
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- {}
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- - Normalize
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- mean:
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- 0.1307
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std:
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- 0.3081
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type: femnist
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device: -1
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distribute:
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use: false
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early_stop:
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delta: 0
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improve_indicator_mode: best
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patience: 3
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the_smaller_the_better: true
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eval:
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best_res_update_round_wise_key: val_loss
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freq: 10
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metrics:
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- acc
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- correct
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monitoring: []
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report:
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- weighted_avg
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- avg
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- fairness
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- raw
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split:
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- test
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- val
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expname: FedAvg_convnet2_on_femnist_lr0.1_lstep1_finetune
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expname_tag: finetune
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federate:
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batch_or_epoch: epoch
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client_num: 200
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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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local_update_steps: 1
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make_global_eval: false
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method: FedAvg
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mode: standalone
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online_aggr: false
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restore_from: ''
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sample_client_num: 32
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sample_client_rate: 0.2
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save_to: ''
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share_local_model: false
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total_round_num: 1000
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unseen_clients_rate: 0.2
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use_ss: false
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federate.local_update_steps: 1
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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
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b: 1
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c: 1
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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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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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hpo:
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fedex:
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cutoff: 0
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diff: false
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flatten_ss: true
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gamma: 0
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num_arms: 16
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sched: auto
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ss: ''
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use: false
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init_cand_num: 16
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init_strategy: random
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larger_better: false
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log_scale: false
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metric: client_summarized_weighted_avg.test_loss
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pbt:
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max_stage: 5
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perf_threshold: 0.1
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plot_interval: 1
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scheduler: bruteforce
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sha:
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budgets: []
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elim_rate: 3
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elim_round_num: 3
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working_folder: hpo
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model:
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dropout: 0
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embed_size: 8
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graph_pooling: mean
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hidden: 2048
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in_channels: 0
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layer: 2
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model_num_per_trainer: 1
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num_item: 0
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num_user: 0
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out_channels: 62
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task: node
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type: convnet2
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use_bias: true
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nbafl:
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use: false
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optimizer:
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grad_clip: 5
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lr: 0.1
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momentum: 0
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type: SGD
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weight_decay: 0
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optimizer.lr: 0.1
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outdir: exp_pfl_bench/FedAvg_convnet2_on_femnist_lr0.1_lstep1_finetune
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personalization:
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K: 5
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beta: 1
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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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regular_weight: 0.1
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share_non_trainable_para: false
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regularizer:
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mu: 0
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type: ''
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seed: 1
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sgdmf:
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use: false
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trainer:
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finetune:
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before_eval: true
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freeze_param: ''
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lr: 0.01
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steps: 5
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type: cvtrainer
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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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name_project: pFL-bench
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name_user: daoyuan
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online_track: true
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use: true
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