The public API for experimenters running federated learning simulations.
Defined in
python/simulation/__init__.py.
Modules
datasets module: Datasets for running
Federated Learning experiments in simulation.
Classes
class ClientData: Object to hold a dataset
and a mapping of clients to examples.
class FilePerUserClientData: A
tf.simulation.ClientData that maps a set of files to a dataset.
class FromTensorSlicesClientData:
ClientData based on tf.data.Dataset.from_tensor_slices.
class HDF5ClientData: A
tff.simulation.ClientData
backed by an HDF5 file.
class TransformingClientData:
Transforms client data, potentially expanding by adding pseudo-clients.