Defined in
learning/__init__.py.
The public API for model developers using federated learning algorithms.
Modules
framework module: The public API for
contributors who develop federated learning algorithms.
Classes
class BatchOutput: A structure that holds
the output of a
tff.learning.Model.
class Model: Represents a model for use in
TensorFlow Federated.
class TrainableModel: A Model with an
additional method for (local) training.
Functions
build_federated_averaging_process(...):
Builds the TFF computations for optimization using federated averaging.
build_federated_evaluation(...):
Builds the TFF computation for federated evaluation of the given model.
build_federated_sgd_process(...):
Builds the TFF computations for optimization using federated SGD.
from_compiled_keras_model(...):
Builds a tff.learning.Model
for an example mini batch.
from_keras_model(...): Builds a
tff.learning.Model for an
example mini batch.
keras_weights_from_tff_weights(...):
Converts TFF's nested weights structure to flat weights.
state_with_new_model_weights(...):
Returns a ServerState with updated model weights.