FS-TFP/federatedscope/mf/baseline/hfl_fedavg_standalone_on_mo...

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YAML

use_gpu: True
device: 0
early_stop:
patience: 100
federate:
mode: standalone
total_round_num: 100
client_num: 5
data:
root: data/
type: HFLMovieLens1M
dataloader:
type: mf
model:
type: HMFNet
hidden: 20
train:
local_update_steps: 50
optimizer:
lr: 1.
criterion:
type: MSELoss
trainer:
type: mftrainer
eval:
freq: 100
metrics: []
best_res_update_round_wise_key: test_avg_loss
count_flops: False