TensorFlow Federated 0.39.0
Pre-release
Pre-release
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
totff.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
usesFunctionDef
instead ofGraphDef
tracing, providingtf.function
auto-control-dependencies. - Renamed
number_of_clients
tonum_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.