TensorFlow Federated 0.47.0

Release 0.47.0

Major Features and Improvements

• Added a LayoutMap message in the computation proto for TensorFlow
  DTensor based execution.

Breaking Changes

• Removed the compiler_fn parameter from the high level
  *_mergeable_execution_context functions.

Bug Fixes

• Aligned the context types allowed by the
  tff.program.NativeFederatedContext and the
  tff.program.PrefetchingDataSource.
• Updated build_functional_model_delta_update to use ReduceDataset ops to
  rely on MLIR Bridge for XLA compilation and TPU usage.

TensorFlow Federated 0.46.0

Release 0.46.0

Major Features and Improvements

• Added parameter and implementation for C++ remote executor to stream the
  values in a structure across the gRPC interface.
• Added tff.backends.native.desugar_and_transform_to_native to the public
  API.
• Replaced GroupNorm implementation with implementation from Keras.
• Added tff.simulations.datasets.flair APIs for the FLAIR dataset.

Breaking Changes

• Removed file extension for model_output_manager used in
  tff.learning.programs

Bug Fixes

• Enabled and fixed python type annotations in some modules.
• Changed tff.learning.algorithms.build_weighted_fed_prox parameter
  validation to allow proximal_strength = 0.0, matching the pydoc.

TensorFlow Federated 0.45.0

Release 0.45.0

Major Features and Improvements

• Integrated the CppToPythonExecutorBridge into the CPPExecutorFactory.
• Changed Python Remote Executor to decompose and stream structures in Compute
  and CreateValue when _stream_structs is true. Added a bool parameter
  stream_structs to
  tff.backends.native.set_localhost_cpp_execution_context() API.

Breaking Changes

• Renamed tff.backends.native.set_localhost_cpp_execution_context() to
  backends.native.set_sync_local_cpp_execution_context().
• Renamed tff.framework.ExecutionContext to
  tff.framework.SyncExecutionContext to be consistent with
  tff.framework.AsyncExecutionContext.
• Removed the SyncSerializeAndExecuteCPPContext and
  AsyncSerializeAndExecuteCPPContext classes.

Bug Fixes

• Fixed usage of typing.Generic in the learning package.
• Enabled pytype analysis for some modules.
• Fixed lint and formatting issues for some modules.

TensorFlow Federated 0.44.0

Release 0.44.0

Major Features and Improvements

• Improved the Python type annotations for tff.program API.
• Extended the metrics interface on FunctionalModel to accept the entire BatchOutput structure from the model forward_pass (not just the predictions).
• Introduced a DTensor Executor.

Bug Fixes

• Fixed async RuntimeWarning in the tff.program.NativeFederatedContext.

TensorFlow Federated 0.43.0

Release 0.43.0

Major Features and Improvements

• Improve serialization method to allow structures larger than 2 GiB (~500
  million model parameters):
  • tff.learning.models.FunctionalModel
  • tff.programs.FileProgramStateManager

Bug Fixes

• Fix a bug using copy.deepcopy for structures of awaitables (non-pickable)
  in tff.learning.programs.
• Fix a bug when resuming an evaluation in
  tff.learning.programs.EvaluationManager where the restarted evaluation
  would overwrite released metrics.

v0.42.0: Increment the version and add release notes.

Release 0.42.0

Major Features and Improvements

• Reduced memory usage for entropy compression.
• Updated com_google_protobuf version to v3.19.0.
• Removed dependency on six.

Breaking Changes

• Removed default value for the key parameter from the abstract base class
  tff.program.ReleaseManager.

Bug Fixes

• Fixed a whitespace syntax issue with shutting down a process when using the
  localhost C++ execution context.
• Modified tff.simulation.build_uniform_sampling_fn so that the output
  raises on non-integer inputs.
• Only wait a subprocess instance if it is not None.

TensorFlow Federated v0.41.0

Release 0.41.0

Major Features and Improvements

• TFF-C++ runtime now installed by default. Note that this release will have a
  significantly larger PIP package size.
• Introduce tff.learning.programs for federated program-logic using the
  tff.program APIs.
• Updated tensorflow to version 2.11.0.
• Updated tensorflow_compression to version 2.11.0.
• Updated bazel_skylib to version 1.3.0.

TensorFlow Federated 0.40.0

Release 0.40.0

Major Features and Improvements

• Skip model updates that are non-finite in
  tff.learning.templates.build_apply_optimizer_finalizer.

Breaking Changes

• Removed deprecated APIs in tff.learning.framework
• Update the Python package scripts to use Python 3.10 by default.
• Remove module wildcard imports from init.py files in TFF.
• Update the Python package scripts to use Python 3.10 by default.

Bug Fixes

• Remove functools.wraps within tff.tf_computation.
• Fix typo in iNaturalist dataset docstring.

TensorFlow Federated 0.39.0

Release 0.39.0

Major Features and Improvements

• Added tff.learning.models.FunctionModel support to all methods in
  tff.learning.algorithms.
• Added support for tf.data.DataSpec to tff.types.infer_unplaced_type.
• Use a tensorflow::ThreadPool for parallelism inside the C++
  TensorFlowExecutor.
• Introduced a new tff.experimental_tf_fn_computation tracing decorator that
  uses FunctionDef instead of GraphDef tracing, providing tf.function
  auto-control-dependencies.
• Renamed number_of_clients to num_clients in the federated program API.
• Replaced the following API with composers API in tff.learning.templates.
  • tff.learning.framework.build_model_delta_optimizer_process
  • tff.learning.framework.ClientDeltaFn

Bug Fixes

• Fixed a bug in the “Client-efficient large-model federated learning”
  tutorial to use the correct dense shape.

TensorFlow Federated 0.38.0

Release 0.38.0

Major Features and Improvements

• Added tff.learning.models.FunctionalModel support to
  tff.learning.algorithms.build_mime_lite.
• Updated tensorflow-privacy to version 0.8.6.
• Added an abstract interface describing an asynchronous context
• Removed references to tff.framework.Context.
• Added tff.simulation.datasets.gldv2.get_synthetic.
• Added prefetching data source in tff.program.PrefetchingDataSource.

Breaking Changes

• Deleted deprecated
  tff.learning.framework.build_encoded_broadcast_process_from_model.
• Deprecated tff.learning.ModelWeights and alias
  tff.learning.framework.ModelWeights, has now moved to
  tff.learning.models.ModelWeights. Code should be updated before the next
  release.

Bug Fixes

• Fixed a bug with variable creation order of metrics in
  tff.learning.models.functional_model_from_keras.
• Improved tff.tf_computation tracing to also trace functools.partial
  objects.

Known Bugs

• Colab compatibility: TFF requires Python 3.9 while Colab runtime uses Python
  3.7.