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

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YAML

use_gpu: True
seed: 1
device: 2
federate:
mode: standalone
total_round_num: 50
client_num: 1
sample_client_rate: 1.0
method: global
restore_from: '../test_supervised.ckpt'
data:
root: 'data'
type: 'Cifar4LP'
batch_size: 256
splitter: 'lda'
splitter_args: [{'alpha': 0.5}]
num_workers: 4
model:
type: 'SimCLR_linear'
train:
local_update_steps: 1
batch_or_epoch: 'epoch'
optimizer:
lr: 0.01
momentum: 0.9
weight_decay: 0.0
scheduler:
type: CosineAnnealingLR
T_max: 50
early_stop:
patience: 0
criterion:
type: CrossEntropyLoss
trainer:
type: 'lptrainer'
eval:
freq: 5
metrics: ['acc']
split: ['val', 'test']