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.
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Last updated 2023-03-17 UTC.
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