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Libraries of specialized processes used for building learning algorithms.
class ClientResult: A structure containing the result of
class ClientWorkProcess: A stateful process capturing work at clients during learning.
class DistributionProcess: A stateful process that distributes values.
class FinalizerProcess: A stateful process for finalization of a round of training.
class LearningAlgorithmState: A structure representing the state of a learning process.
class LearningProcess: A stateful process for learning tasks that produces metrics.
class LearningProcessOutput: A structure containing the output of a
build_apply_optimizer_finalizer(...): Builds finalizer that applies a step of an optimizer.
DistributionProcess directly broadcasting values.
build_model_delta_client_work(...): Creates a
ClientWorkProcess for federated averaging.
compose_learning_process(...): Composes specialized measured processes into a learning process.