41 lines
692 B
YAML
41 lines
692 B
YAML
use_gpu: True
|
|
device: 0
|
|
early_stop:
|
|
patience: 5
|
|
seed: 2
|
|
federate:
|
|
mode: standalone
|
|
total_round_num: 300
|
|
sample_client_rate: 0.2
|
|
data:
|
|
root: data/
|
|
type: femnist
|
|
splits: [0.6,0.2,0.2]
|
|
batch_size: 64
|
|
subsample: 0.05
|
|
num_workers: 0
|
|
transform: [['ToTensor'], ['Normalize', {'mean': [0.9637], 'std': [0.1592]}]]
|
|
model:
|
|
type: convnet2
|
|
hidden: 2048
|
|
out_channels: 62
|
|
personalization:
|
|
local_update_steps: 3
|
|
lr: 0.5
|
|
regular_weight: 1
|
|
train:
|
|
batch_or_epoch: epoch
|
|
local_update_steps: 3
|
|
optimizer:
|
|
lr: 0.5
|
|
weight_decay: 0.0
|
|
grad:
|
|
grad_clip: 5.0
|
|
criterion:
|
|
type: CrossEntropyLoss
|
|
trainer:
|
|
type: cvtrainer
|
|
eval:
|
|
freq: 10
|
|
metrics: ['acc', 'correct']
|