TensorFlow Federated 0.39.0

Release 0.39.0

Major Features and Improvements

• Added tff.learning.models.FunctionModel support to all methods in
  tff.learning.algorithms.
• Added support for tf.data.DataSpec to tff.types.infer_unplaced_type.
• Use a tensorflow::ThreadPool for parallelism inside the C++
  TensorFlowExecutor.
• Introduced a new tff.experimental_tf_fn_computation tracing decorator that
  uses FunctionDef instead of GraphDef tracing, providing tf.function
  auto-control-dependencies.
• Renamed number_of_clients to num_clients in the federated program API.
• Replaced the following API with composers API in tff.learning.templates.
  • tff.learning.framework.build_model_delta_optimizer_process
  • tff.learning.framework.ClientDeltaFn

Bug Fixes

• Fixed a bug in the “Client-efficient large-model federated learning”
  tutorial to use the correct dense shape.