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The public API for contributors who develop federated learning algorithms.
Classes
class ClientDeltaFn: Represents a client computation that produces an update to a model.
class ClientOutput: Structure for outputs returned from clients during federated optimization.
class EnhancedModel: A wrapper around a Model that adds sanity checking and metadata helpers.
class ModelWeights: A container for the trainable and non-trainable variables of a Model.
class ServerState: Represents the state of the server carried between rounds.
Functions
build_encoded_broadcast_from_model(...): Builds StatefulBroadcastFn for weights of model returned by model_fn.
build_encoded_mean_from_model(...): Builds StatefulAggregateFn for weights of model returned by model_fn.
build_encoded_sum_from_model(...): Builds StatefulAggregateFn for weights of model returned by model_fn.
build_model_delta_optimizer_process(...): Constructs tff.utils.IterativeProcess for Federated Averaging or SGD.
build_stateless_broadcaster(...): Just tff.federated_broadcast with empty state, to use as a default.
enhance(...): Wraps a tff.learning.Model as an EnhancedModel.