def METHOD_NAME(self, ins: FitIns) -> FitRes:
    """Refine the provided parameters using the locally held dataset.
    Parameters
    ----------
    ins : FitIns
        The training instructions containing (global) model parameters
        received from the server and a dictionary of configuration values
        used to customize the local training process.
    Returns
    -------
    FitRes
        The training result containing updated parameters and other details
        such as the number of local training examples used for training.
    """
    _ = (self, ins)
    return FitRes(
        status=Status(
            code=Code.FIT_NOT_IMPLEMENTED,
            message="Client does not implement `fit`",
        ),
        parameters=Parameters(tensor_type="", tensors=[]),
        num_examples=0,
        metrics={},
    )