TensorFlow-Federated 0.14.0

Release 0.14.0

Major Features and Improvements

• Multiple TFF execution speedups.
• New tff.templates.MeasuredProcess specialization of IterativeProcess.
• Increased optimization of the tff.templates.IterativeProcess ->
  tff.backends.mapreduce.CanonicalForm compiler.

Breaking Changes

• Moved tff.utils.IterativeProcess to tff.templates.IterativeProcess.
• Removed tff.learning.TrainableModel, client optimizers are now arguments
  on the tff.learning.build_federated_averaging_process.
• Bump required version of pip packages for tensorflow (2.2), numpy (1.18),
  pandas (0.24), grpcio (1.29).

Bug Fixes

• Issue with GPUs in multimachine simulations not being utilized, and bug on
  deserializing datasets with GPU-backed runtime.
• TensorFlow lookup table initialization failures.

Known Bugs

• In some situations, TF will attempt to push Datasets inside of tf.functions
  over GPU device boundaries, which fails by default. This can be hit by
  certain usages of TFF,
  e.g. as tracked here.

Thanks to our Contributors

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

jvmcns@