[config]

Tools to specify hyper-parameters of a Federated Learning process.

This submodule exposes dataclasses that group, document and facilitate parsing (from instances, config dicts and/or TOML files) elements that are required to specify a Federated Learning process from the server's side.

The main classes implemented here are:

• FLRunConfig: Federated learning orchestration hyper-parameters.
• FLOptimConfig: Federated optimization strategy.

The following dataclasses are articulated by FLRunConfig:

• EvaluateConfig: Hyper-parameters for an evaluation round.
• RegisterConfig: Hyper-parameters for clients registration.
• TrainingConfig: Hyper-parameters for a training round.