TensorFlow Federated 0.6.0

Release 0.6.0

Major Features and Improvements

• Support for multiple outputs and loss functions in keras models.
• Support for stateful broadcast and aggregation functions in federated
  averaging and federated SGD APIs.
• tff.utils.update_state extended to handle more general state arguments.
• Addition of tff.utils.federated_min and tff.utils.federated_max.
• Shuffle client_ids in create_tf_dataset_from_all_clients by default to
  aid optimization.

Breaking Changes

• Dependencies added to requirements.txt; in particular, grpcio and
  portpicker.

Bug Fixes

• Removes dependency on tf.data.experimental.NestedStructure.

Thanks to our Contributors

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

Dheeraj R Reddy, @Squadrick.