TensorFlow Federated 0.60.0
Pre-release
Pre-release
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/returnNone
. - 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).