tff.simulation.datasets.build_synthethic_iid_datasets

Constructs an iterable of IID clients from a tff.simulation.datasets.ClientData.

tff.simulation.datasets.build_synthethic_iid_datasets(
    client_data, client_dataset_size: int, shuffle_buffer_size: int = 10000
)

The returned iterator yields a stream of tf.data.Datsets that approximates the true statistical IID setting with the entirety of client_data representing the global distribution. That is, we do not simply randomly distribute the data across some fixed number of clients, instead each dataset returned by the iterator samples independently from the entirety of client_data (so any example in client_data may be produced by any client).

Args
client_data	A tff.simulation.datasets.ClientData.
client_dataset_size	The size of the tf.data.Dataset to yield from the returned dataset.
shuffle_buffer_size	Shuffling buffer size for the union of all data from input client_data.

Returns
A tf.data.Dataset instance that yields iid client datasets sampled from the global distribution.