FedALA

Implementation of the FedALA [FedALA23] algorithm.

References

[FedALA23]

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan. FedALA: Adaptive Local Aggregation for Personalized Federated Learning In AAAI (2023). URL: https://arxiv.org/pdf/2212.01197v4

Classes included in fluke.algorithms.fedala

FedALAClient

FedALA

Classes

class fluke.algorithms.fedala.FedALAClient(index: int, train_set: FastDataLoader, test_set: FastDataLoader, optimizer_cfg: OptimizerConfigurator, loss_fn: Module, local_epochs: int = 3, ala_sample_size: float = 0.8, eta: float = 1.0, conergence_threshold: float = 0.001, loss_window_size: int = 10, **kwargs: dict[str, Any])[source]

Bases: Client

class fluke.algorithms.fedala.FedALA(n_clients: int, data_splitter: DataSplitter, hyper_params: DDict)[source]

Bases: CentralizedFL