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options.py
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options.py
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import argparse
def args_parser():
parser = argparse.ArgumentParser()
# federated arguments
parser.add_argument('--epochs', type=int, default=100,
help="number of rounds of training")
parser.add_argument('--num_users', type=int, default=5,
help="number of users: K")
parser.add_argument('--frac', type=float, default=1.0,
help='the fraction of clients: C')
parser.add_argument('--local_ep', type=int, default=10,
help="the number of local epochs: E, 2 for SVHN, 3 for CIFAR-100")
parser.add_argument('--local_bs', type=int, default=32,
help="local batch size: B, 128 for SVHN and CIFAR-100")
parser.add_argument('--lr', type=float, default=0.01,
help='learning rate')
parser.add_argument('--momentum', type=float, default=0.9,
help='SGD momentum (default: 0.9)')
# other arguments
parser.add_argument('--model', type=str, default='cnn', help='model name')
parser.add_argument('--dataset', type=str, default='cifar-10', help="name \
of dataset: cifar-10, svhn, cifar-100")
parser.add_argument('--num_classes', type=int, default=10, help="number \
of classes")
parser.add_argument('--gpu', default='0', help="To use cuda, set \
to a specific GPU ID. Default set to use CPU.")
parser.add_argument('--optimizer', type=str, default='sgd', help="type \
of optimizer")
parser.add_argument('--iid', type=int, default=1,
help='Default set to IID. Set to 0 for non-IID.')
parser.add_argument('--unequal', type=int, default=0,
help='whether to use unequal data splits for \
non-i.i.d setting (use 0 for equal splits)')
parser.add_argument('--stopping_rounds', type=int, default=10,
help='rounds of early stopping')
parser.add_argument('--verbose', type=int, default=1, help='verbose')
parser.add_argument('--seed', type=int, default=6, help='random seed')
parser.add_argument('--num-steps', type=int, default=10, help='maximum perturbation step K')
parser.add_argument('--out-dir',type=str,default='../SFAT_result',help='dir of output')
parser.add_argument('--agg-opt',type=str,default='FedAvg',help='option of on-device learning: FedAvg, FedProx, Scaffold')
parser.add_argument('--agg-center',type=str,default='FedAvg',help='option of aggregation: FedAvg, SFAT')
parser.add_argument('--mu', type=float, default=0.01, help='mu for FedProx')
parser.add_argument('--modeltype',type=str,default='NIN',help='different model structure')
parser.add_argument('--pri', type=float, default=1.4, help='weight for (1+alpha)/(1-alpha): 1.2, 1.4, 1.6 ...')
parser.add_argument('--topk',type=int, default=1, help='top client to be upweight')
parser.add_argument('--train-method',type=str,default='AT',help='different training method: AT, TRADES, MART')
args = parser.parse_args()
return args