FS-TFP/federatedscope/cl/baseline/fedsimclr_on_cifar10.yaml

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YAML

use_gpu: True
device: 2
federate:
mode: standalone
total_round_num: 100
client_num: 5
sample_client_rate: 1.0
method: FedAvg
save_to: '../SimCLR_on_Cifar4CL_global_lr0.03_lus10_rn100epoch_repairsave.ckpt'
data:
root: 'data'
type: 'Cifar4CL'
batch_size: 512
splitter: 'lda'
splitter_args: [{'alpha': 0.1}]
num_workers: 4
model:
type: 'SimCLR'
train:
local_update_steps: 10
batch_or_epoch: 'epoch'
optimizer:
lr: 0.03
momentum: 0.9
weight_decay: 0.0001
early_stop:
patience: 0
criterion:
type: 'NT_xentloss'
trainer:
type: 'cltrainer'
eval:
freq: 5
metrics: ['loss']
split: ['val', 'test']