54 lines
1.1 KiB
YAML
54 lines
1.1 KiB
YAML
use_gpu: True
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device: 0
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early_stop:
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patience: 0
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seed: 2
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federate:
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mode: standalone
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total_round_num: 20
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sample_client_num: 13
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merge_test_data: True
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share_local_model: False
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client_num: 200
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sampler: 'uniform'
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resource_info_file: 'client_device_capacity'
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data:
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root: data/
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type: CIFAR10@torchvision
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args: [{'download': True}]
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splits: [0.8,0.2,0.2]
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subsample: 0.2
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transform: [['ToTensor'], ['Normalize', {'mean': [0.4914, 0.4822, 0.4465], 'std': [0.2470, 0.2435, 0.2616]}]]
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splitter: 'lda'
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splitter_args: [{'alpha': 0.2}]
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dataloader:
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batch_size: 10
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model:
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type: convnet2
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hidden: 512
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out_channels: 10
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train:
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local_update_steps: 2
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batch_or_epoch: batch
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optimizer:
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lr: 0.5
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weight_decay: 0.0
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grad:
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grad_clip: 5.0
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criterion:
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type: CrossEntropyLoss
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trainer:
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type: cvtrainer
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eval:
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freq: 5
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metrics: ['acc', 'correct']
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best_res_update_round_wise_key: 'test_acc'
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asyn:
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use: True
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overselection: False
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staleness_discount_factor: 0.2
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aggregator: 'goal_achieved'
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broadcast_manner: 'after_receiving'
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min_received_num: 10
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staleness_toleration: 10
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