config.json

{
  "NAME": "Gradients Stand-in for Defending Deep Leakage in Federated Learning",
  "AUTHOR": "YI HU, HANCHI REN, JINGJING DENG, YIMING LI, CHEN HU and XIANGHUA XIE",
  "METHODS": "AdaDefense",
  "METHODS_SET": ["Normal", "FedAvg", "FedKL", "EWWA", "AdaDefense"],
  "DEBUG": true,

  "DEVICE": {
    "DEVICE_TOUSE": "GPU",
    "DEVICE_GPUID": [0]
  },
  "NETWORK": {
    "BACKBONE": "lenet",
    "BACKBONE_SET": ["lenet", "resnet", "vgg16"],
    "LAYER_NUMBER": 0,
    "RESNET_LAYER_NUMBER_SET": [18, 34, 20, 32]
  },

  "DATA": {
    "DATA_ROOT": "/home/hans/WorkSpace/Data/",
    "TRAIN_DATA": "mnist",
    "DATA_LIST": ["mnist", "cifar100", "cifar10"],
    "IMG_SIZE": [32, 32],
    "IS_IID": true
  },
  "OPTIMIZER": {
    "OPT_BACKPROP": "sgd",
    "OPT_BACKPROP_SET": ["sgd", "adam", "rmsprop", "adadelta"],
    "LEARNING_RATE": 0.01,
    "DECAY": 0.0001,
    "MOMENTUM": 0.9,
    "SGD_NESTEROV": true
  },
  "TRAIN": {
    "FINETUNE": false,
    "WEIGHT_TOLOAD": "",
    "BATCH_SIZE": 64,
    "ROUNDS": 200,
    "SAVE_ROOT": "/home/hans/WorkSpace/Models/"
  },
  "FED": {
    "OPTIMIZER": "adam",
    "CLIENTS_NUM": 3,
    "FRACTION": 1,
    "CLIENT_EPOCH": 1
  },
  "TEST": {
    "ROOT_PATH": "",
    "MODEL_NAME": ""
  }
}