use_gpu: True
device: 0
federate:
  mode: 'standalone'
  make_global_eval: True
  total_round_num: 30
  client_num: 4
  sample_client_num: 3
data:
  root: data/
  splitter: scaffold_lda
  transform: ['AddSelfLoops']
  splitter_args: [{'alpha': 0.1}]
dataloader:
  type: pyg
  batch_size: 64
model:
  type: mpnn
  hidden: 64
  task: graph
  out_channels: 2
flitplus:
  tmpFed: 0.5
  factor_ema: 0.8
train:
  local_update_steps: 333
  optimizer:
    type: 'Adam'
    lr: 0.0001
    weight_decay: 0.00001
criterion:
  type: CrossEntropyLoss
eval:
  freq: 50
  metrics: ['roc_auc']