[main]

Main classes implementing a Federated Learning process.

This module mainly implements the following two classes:

• FederatedClient: Client-side main Federated Learning orchestrating class
• FederatedServer: Server-side main Federated Learning orchestrating class

This module also implements the following submodules, used by the former:

• config: Server-side dataclasses that specify a FL process's parameter. The main classes implemented here are FLRunConfig and FLOptimConfig, that implement parameters' parsing from python objets or from TOML files.
• privacy: Differentially-Private training routine utils. The main class implemented here is DPTrainingManager that implements client-side DP-SGD training. This module is to be manually imported or lazy-imported by FederatedClient, and may trigger warnings or errors in the absence of the 'opacus' third-party dependency.
• utils: Various utils to the FL process. The main class of interest for end-users is TrainingManager, that implements client-side training and evaluation routines, and may therefore be leveraged in a non-FL setting or to implement other FL process routines than the centralized one defined here.