TensorFlow Federated 0.28.0

Release 0.28.0

Major Features and Improvements

• Updated tutorials to use tff.learning.algorithms API.
• Asynchronous TFF execution contexts no longer assume a single global
  cardinality; they concurrently invoke any computation for which concurrency
  is requested.

Breaking Changes

• Removed tff.learning.build_federated_averaging_process; users should
  migrate to tff.learning.algorithms.build_weighted_fed_avg.

Bug Fixes

• Clarified semantics for TFF-C++ multimachine Dispose, DisposeExecutor,
  and executor keying, to avoid raising exceptions and spamming logs in the
  course of normal operation.
• Fixed unsigned integer overflow for TFF-C++
  max_concurrent_computation_calls.
• Normalizes on call-dominant form before attempting to compile to
  MergeableCompForm, removing spurious failures on dependent-aggregation
  checking.

Known Bugs

• Serialization / deserialization of tf.data.Datasets yielding non-dense
  tensors for multimachine runtime may encounter issues:
  • tff.framework.deserialize_value may fail to deserialize
    tf.data.Datasets yielding RaggedTensors or SparseTensors.
  • tff.framework.serialize_value may fail to serialize tf.data.Datasets
    yielding SparseTensors.