def METHOD_NAME(self, model):
    # create models for SCAFFOLD correction terms
    self.c_global = copy.deepcopy(model)
    self.c_local = copy.deepcopy(model)
    # Initialize correction term with zeros
    c_init_para = model.state_dict()
    for k in c_init_para.keys():
        c_init_para[k] = torch.zeros_like(c_init_para[k])
    self.c_global.load_state_dict(c_init_para)
    self.c_local.load_state_dict(c_init_para)