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Libraries for running TensorFlow Federated simulations.
Modules
datasets module: Datasets for running TensorFlow Federated simulations.
models module: Models for running TensorFlow Federated simulations.
Classes
class CSVMetricsManager: Utility class for saving/loading experiment metrics via a CSV file.
class FileCheckpointManager: A checkpoint manager backed by a file system.
class MetricsManager: An abstract base class for metrics managers.
class TensorBoardManager: Utility class for saving metrics using tf.summary.
Functions
build_uniform_sampling_fn(...): Builds the function for sampling from the input iterator at each round.
compose_dataset_computation_with_computation(...): Builds a new tff.Computation which constructs datasets on clients.
compose_dataset_computation_with_iterative_process(...): Builds a new iterative process which constructs datasets on clients.
run_server(...): Runs a gRPC server hosting a simulation component in this process.
run_simulation(...): Runs a federated training simulation for a given iterative process.
run_simulation_with_callbacks(...): Runs federated training for a given tff.templates.IterativeProcess.
server_context(...): Context manager yielding gRPC server hosting simulation component.