FS-TFP/federatedscope/cl/baseline/supervised_fedavg_on_cifar1...

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YAML

use_gpu: True
device: 0
federate:
mode: standalone
total_round_num: 100
client_num: 5
sample_client_rate: 1.0
share_local_model: True
online_aggr: True
method: FedAvg
save_to: '../test_supervised.ckpt'
data:
root: 'data'
type: 'Cifar4LP'
batch_size: 256
splitter: 'lda'
splitter_args: [{'alpha': 0.1}]
num_workers: 4
model:
type: 'supervised_fedavg'
train:
local_update_steps: 3
batch_or_epoch: 'epoch'
optimizer:
lr: 0.03
momentum: 0.9
weight_decay: 0.0
early_stop:
patience: 0
criterion:
type: CrossEntropyLoss
trainer:
type: general
eval:
freq: 10
metrics: ['acc']
split: ['val', 'test']