TensorFlow Federated 0.18.0

Release 0.18.0

Major Features and Improvements

• Extended the tff.simulation package to add many new tools for running
  simulations (checkpoints and metrics managers, client sampling functions).
• Extended the tff.aggregators package with a number of new aggregation
  factories.
• Added the tff.structure API to expose the Struct class and related
  functions.
• Added the tff.profiler API to expose useful profiling related functions.
• Added the tff.backends.test package to expose backends that focused on
  testing specifically a way to test a computation with a
  federated_secure_sum intrinsic.
• Added the tff.experimental package to expose less stable API.

Breaking Changes

• Replaced the tff.aggregators.AggregationProcessFactory abstract base class
  with the tff.aggregators.UnweightedAggregationFactory and the
  tff.aggregators.WeightedAggregationFactory classes.
• Replaced the tff.aggregators.ZeroingFactory class with a
  tff.aggregators.zeroing_factory function with the same input arguments.
• Replaced the tff.aggregators.ClippingFactory class with a
  tff.aggregators.clipping_factory function with the same input arguments.
• Updated tensorflow package dependency to 2.4.0.
• Updated absl-py package dependency to 0.10.
• Updated grpcio package dependency to 1.32.0.
• Added a jaxlib package dependency at 0.1.55.
• Updated numpy package dependency to 1.19.2.
• Updated tensorflow-addons package dependency to 0.12.0.
• Updated tensorflow-model-optimization package dependency to 0.5.0.

Bug Fixes

• Fixed issue with the sequence_reduce intrinsic handling federated types.