use_gpu: True
device: 0
outdir: graph_exp/pfedhpo
seed: 12345
early_stop:
  patience: 100000
  improve_indicator_mode: mean
federate:
  mode: 'standalone'
  make_global_eval: False
  total_round_num: 4000
  sample_client_rate: 1.0
  share_local_model: False
  use_diff: True
data:
  root: data/
  type: mini-graph-dc
dataloader:
  type: pyg
model:
  task: graph
  type: gin
  hidden: 64
personalization:
  local_param: ['encoder_atom', 'encoder', 'clf']
train:
  batch_or_epoch: epoch
  local_update_steps: 1
  optimizer:
    type: SGD
trainer:
  type: graphminibatch_trainer
eval:
  freq: 1
  metrics: ['acc', 'correct']
  count_flops: False
  split: ['train', 'val', 'test']
hpo:
  scheduler: pfedhpo
  num_workers: 0
  pfedhpo:
    use: True
    discrete: True
    train_fl: False
    train_anchor: False
    target_fl_total_round: 400
    ss: 'scripts/example_configs/pfedhpo/mini_graph_dc/ss.yaml'
  metric: 'client_summarized_weighted_avg.val_avg_loss'
  working_folder: graph_exp/pfedhpo/working