Skip to content

TensorFlow Federated 0.15.0

Pre-release
Pre-release
Compare
Choose a tag to compare
@michaelreneer michaelreneer released this 16 Jul 21:20

Release 0.15.0

Major Features and Improvements

  • Updated tensorflow-addons package dependency to 0.9.0.
  • Added API to expose the native backend more conveniently. See
    tff.backends.native.* for more information.
  • Added a compiler argument to the tff.framework.ExecutionContext API and
    provided a compiler for the native execution environment, which improves
    TFF’s default concurrency pattern.
  • Introduced a new tff.templates.MeasuredProcess concept, a specialization
    of tff.templates.IterativeProcess.
  • Extends tff.learning interfaces to accept tff.templates.MeasuredProcess
    objects for aggregation and broadcast computations.
  • Introduce new convenience method tff.learning.weights_type_from_model.
  • Introduced the concept of a tff.framework.FederatingStrategy, which
    parameterizes the tff.framework.FederatingExecutor so that the
    implementation of a specific intrinsic is easier to provide.
  • Reduced duplication in TFF’s generated ASTs.
  • Enabled usage of GPUs on remote workers.
  • Documentation improvements.

Breaking Changes

  • The IterativeProcess return from
    tff.learning.build_federated_averaging_process and
    tff.learning.build_federated_sgd_process now zip the second tuple output
    (the metrics) to change the result from a structure of federated values to
    to a federated structure of values.
  • Removed tff.framework.set_default_executor function, instead you should
    use the more convenient tff.backends.native.set_local_execution_context
    function or manually construct a context an set it using
    tff.framework.set_default_context.
  • The tff.Computation base class now contains an abstract __hash__ method,
    to ensure compilation results can be cached. Any custom implementations of
    this interface should be updated accordingly.

Bug Fixes

  • Fixed issue for missing variable initialization for variables explicitly not
    added to any collections.
  • Fixed issue where table initializers were not run if the
    tff.tf_computation decorated function used no variables.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

jvmcns@