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Libraries for developing federated learning algorithms.
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 ModelWeights: A container for the trainable and non-trainable variables of a
class ServerState: Represents the state of the server carried between rounds.
MeasuredProcess for weights of model returned by
parameter_count_from_model(...): Computes count of trainable parameters for a