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Module: tff.learning.framework

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Libraries for developing federated learning algorithms.

Classes

class ClientOutput: Structure for outputs returned from clients during federated optimization.

class ServerState: Represents the state of the server carried between rounds.

Functions

build_stateless_broadcaster(...): Builds a MeasuredProcess that wraps tff.federated_broadcast.