def METHOD_NAME(self, parameters):
    """Receive parameters and apply them to the local model."""
    params_dict = zip(self.model.state_dict().keys(), parameters)
    state_dict = OrderedDict({k: torch.Tensor(v) for k, v in params_dict})
    self.model.load_state_dict(state_dict, strict=True)