ged-fed-learning/params.yaml at fed-neat-evolution · elegantShock2258/ged-fed-learning · GitHub

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core_logic:
  causal_edge_threshold: 0.03
  validator_threshold: 0.4
  consensus_momentum: 0.7
  simgnn_epochs: 500
  simgnn_batch_size: 32
  simgnn_lr: 0.001
  l1_sparsity_penalty: 0.0001
  notears_lr: 0.02
  notears_max_iter: 200
  simgnn_diversity_prob: 0.8
server:
  consensus_samples: 1000
  batch_size: 32
hardware:
  device: auto
simulation:
  num_clients: 30
  num_false_nodes: 5
  num_rounds: 15
  local_epochs: 5
  batch_size: 32
  ray_cpus_per_actor: 4
  adversary_poison_fraction: 0.2
agent_env:
  max_steps: 10
  gamma: 0.99
  ent_coef: 0.01
  vf_coef: 0.5
  max_grad_norm: 0.5
dataset:
  name: asia
  total_samples: 10000
  seed: 42
vastai:
  instance_id: '32888853'
fedneat:
  population_size: 5
  mutation_rate_node: 0.05
  mutation_rate_conn: 0.1
  mutation_rate_weight: 0.8