fedopt#

Module Contents#

FedOptServerHandler

FedAvg server handler.

class FedOptServerHandler(model: torch.nn.Module, global_round: int, num_clients: int = 0, sample_ratio: float = 1, cuda: bool = False, device: str = None, sampler: fedlab.contrib.client_sampler.base_sampler.FedSampler = None, logger: fedlab.utils.Logger = None)#

Bases: fedlab.contrib.algorithm.fedavg.FedAvgServerHandler

FedAvg server handler.

property num_clients_per_round#
setup_optim(sampler, args)#

Override this function to load your optimization hyperparameters.

local_process(payload, id_list)#
global_update(buffer)#