[aggregator]

Model updates aggregating API and implementations.

An Aggregator is typically meant to be used on a round-wise basis by the orchestrating server of a centralized federated learning process, to aggregate the client-wise model updated into a Vector that may then be used as "gradients" by the server's Optimizer to update the global model.

This declearn submodule provides with:

API tools

• Aggregator: Abstract base class defining an API for Vector aggregation.
• ModelUpdates: Base dataclass for model updates' sharing and aggregation.
• list_aggregators: Return a mapping of registered Aggregator subclasses.

Concrete classes

• AveragingAggregator: Average-based-aggregation Aggregator subclass.
• GradientMaskedAveraging: Gradient Masked Averaging Aggregator subclass.