TensorFlow Federated 0.68.0

Release 0.68.0

Major Features and Improvements

• Added tff.types.tensorflow_to_type function to convert structures
  containing tensorflow type specs into a tff.Type.
• Deprecated tff.types.infer_unplaced_type.
• Updated tff.types.ArrayShape to be defined as a Sequence not an
  Iterable, this is because the len of an tff.types.ArrayShape is used
  for comparison.
• Deprecated the type_signature parameter for the
  tff.program.ReleaseManager.release method.

Breaking Changes

• Removed the implementation of tff.Value.__add__.
• Removed the deprecated tff.Type.check_*() functions, use isinstance
  instead.
• Removed tff.types.at_clients and tff.types.at_server functions, use the
  tff.FederatedType constructor instead.
• Removed support for handling tf.data.DatasetSpec, tf.RaggedTensorSpec,
  and tf.SparseTensorSpec using tff.to_type, use
  tff.types.tensorflow_to_type instead.
• Removed support for handling tf.RaggedTensor and tf.SparseTensor using
  infer_type.

TensorFlow Federated 0.67.0

Release 0.67.0

Major Features and Improvements

• Updated the representation of a tff.TensorType.dtype to be a np.dtype
  instead of tf.dtypes.Dtype.
• Added tff.program.DelayedReleaseManager.

Breaking Changes

• Removed check_allowed_ops from the framework package.
• Removed check_disallowed_ops from the framework package.
• Removed replace_intrinsics_with_bodies from the framework package.
• Removed get_session_token from the framework package.
• Added a workspace dependency on pybind11_bazel.
• Removed type_from_tensors from the framework package.
• Updated the version of rules_python to 0.23.0.

Bug Fixes

• Temporary pin googleapis-common-protos to version 1.61.0 to work around
  an issue with a transitive dependency.

TensorFlow Federated 0.66.0

Release 0.66.0

Breaking Changes

• Removed the capability to pass a tf.TensorShape as the shape of a
  tff.TensorType.

Bug Fixes

• Correctly materialize SERVER placed values out of the C++ execution stack
  when using StreamingRemoteExecutor instead of returning an error about
  placement not found.

TensorFlow Federated 0.65.0

Release 0.65.0

Major Features and Improvements

• Update the representation of a tff.TensorType.shape to be a
  tff.types.ArrayShape instead of tf.TensorShape.

• Updated type_to_py_container``to be able to handletff.SequenceTypes` with
  an unknown Python type.

Breaking Changes

• Moved tff.structure_from_tensor_type_tree to
  tff.types.structure_from_tensor_type_tree.
• Remove the capability to pass an int as the shape of a tff.TensorType.

TensorFlow Federated 0.64.0

Release 0.64.0

Major Features and Improvements

• Updated the TFF project and the Python package to be compatible with Python
  3.11.
• Updated train_process to train_process_factory in vizier program logic
  to support multiple trials in parallel.
• Added support for using non-OrderedDict mapping types.

Breaking Changes

• Updated the version of grpc to v1.59.1.
• Updated the version of bazel to 6.1.0.
• Updated the version of tensorflow to 2.14.0.
• Updated the version of numpy to ~=1.25.
• Updated the version of com_google_googletest to 1.12.1.

Bug Fixes

• Fixed import path for Vizier in federated program example.
• Fixed serialization of TenshorShape in error message to be human readable.
• Fixed bug in tff.program.FileProgramStateManager removing old program
  state.

TensorFlow Federated 0.63.0

Release 0.63.0

Major Features and Improvements

• Added tff.federated_min and tff.federated_max intrinsics.
• Added a get_value() method to tff.program.SavedModelFileReleaseManager, for retrieving values that were previously released.
• Added tff.program.PeriodicReleaseManager to release values at regular intervals.
• Learning program logic now saves next evaluation time so that it can be loaded upon computation restarts.
• DistributeAggregateForm now skips normalizing the all_equal bit.
• Added parallelism to Vizier program logic.
• Enabled building protos with certain Bazel versions.

Breaking Changes

• Updated the version of attrs to 23.1.
• Updated the version of cachetools to ~=5.3.
• Updated the version of dp-accounting to 0.4.3.
• Updated the version of google-vizier to 0.1.11.
• Updated the version of jax to 0.4.14.
• Updated the version of portpicker to ~=1.6.
• Updated the version of tensorflow to 2.13.0.
• Updated the version of tensorflow-model-optimization to 0.7.5.
• Updated the version of tensorflow-privacy to 0.8.11.
• Updated the version of typing-extensions to ~=4.5.0.
• Increased TF_CUDA_VERSION to 12.
• Removed the tff.program.Capabilities enum from the iterator.
• Deleted Python executors.
• Removed the deprecated is_{foo} functions from tff.Types. Users should use isinstance checks instead.
• Deleted go-related BUILD targets for TFF proto files.

Bug Fixes

• Removed non-existent GCP doc from TFF guides.
• Cleaned up exceptions in the tff.program package for consistency and clarity.
• Fixed various pytype errors.
• Fixed various undefined-variable lint errors.
• Fixed a UnicodeDecodeError in the FedRecon tutorial.
• Fixed Python 3.11 related errors.

TensorFlow Federated 0.62.0

Release 0.62.0

Breaking Changes

• Removed context argument from
  tff.learning.algorithms.build_personalization_eval_computation. Now a
  personalization function only takes a model, a train dataset, and a test
  dataset as arguments.

Bug Fixes

• Fix a rare infinite loop issue caused by very small float values when using
  tff.learning.ddp_secure_aggregator.

TensorFlow Federated 0.61.0

Release 0.61.0

Major Features and Improvements

• Updated the type annotation for the dtype parameter to tff.TensorType.
• Added adaptive tuning function to ThresholdSampling class.
• Added
  tff.learning.models.ReconstructionModel.from_keras_model_and_variables,
  which provides a way to get a ReconstructionModel from a Keras model and
  lists of global and local trainable/non_trainable variables.
• Switched tff.learning.algorithms.build_fed_recon_eval to use a stateful
  metrics aggregator.

Breaking Changes

• Removed tff.learning.models.ReconstructionModel.from_keras_model, which
  has been replaced by
  tff.learning.models.ReconstructionModel.from_keras_model_and_layers.
• Removed the following functions from the py_typecheck module: check_len,
  check_callable, is_dataclass,is_attrs, check_subclass and
  check_not_none. They are unused or can be replaced by Python type
  annotations.

Bug Fixes

• Fixed a small bug in the TFF SGDM optimizer, to only track momentum as a
  hparam if it is both specified and nonzero.

TensorFlow Federated 0.60.0

Release 0.60.0

Major Features and Improvements

• DTensor TF executor is now integrated with the default TFF C++ worker.
• Added federated program documentation and guidelines.
• Removed the pytype dependency from TFF.
• tff.learning.algorithms.build_fed_recon_eval now supports TFF optimizers.

Breaking Changes

• Updated tff.types.deserialize_type to not accept/return None.
• Removed the tff.framework.ComputationBuildingBlock.is_foo methods.
• Renamed tff.learning.algorithms.build_personalization_eval to
  tff.learning.algorithms.build_personalization_eval_computation
• tff.learning.models.ReconstructionModel.from_keras_model will now check
  that global and local variables are disjoint, raise ValueError if they are
  not.

Bug Fixes

• Fixed tff.learning.models.ReconstructionModel.has_only_global_variables
  (it was returning incorrect value).

TensorFlow Federated 0.59.0

Release 0.59.0

Major Features and Improvements

• Removed compression for worker_binary.
• Allowed tensor and numpy float-like objects in optimizer hyperparameters.
• Improved API/filtering logic in FilteringReleaseManager.

Breaking Changes

• Renamed build_personalization_eval to
  build_personalization_eval_computation.
• Updated tff.to_type implementation and type annotation to not
  accept/return None.

Bug Fixes

• Fixed and documented pytype errors in the program package.
• Fixed bug in how tff.program.NativeFederatedContext handles arguments of
  various types.