def METHOD_NAME(
    self, parameters: NDArrays, config: Dict[str, Scalar]
) -> Tuple[NDArrays, int, Dict[str, Scalar]]:
    """Train the provided parameters using the locally held dataset.
    Parameters
    ----------
    parameters : NDArrays
        The current (global) model parameters.
    config : Dict[str, Scalar]
        Configuration parameters which allow the
        server to influence training on the client. It can be used to
        communicate arbitrary values from the server to the client, for
        example, to set the number of (local) training epochs.
    Returns
    -------
    parameters : NDArrays
        The locally updated model parameters.
    num_examples : int
        The number of examples used for training.
    metrics : Dict[str, Scalar]
        A dictionary mapping arbitrary string keys to values of type
        bool, bytes, float, int, or str. It can be used to communicate
        arbitrary values back to the server.
    """
    _ = (self, parameters, config)
    return [], 0, {}