python

伪代码：联邦遗忘微调法

def federated_unlearning_via_fine_tune(global_model, remaining_clients, rounds=5): for r in range(rounds): local_weights = [] for client in remaining_clients: local_model = copy.deepcopy(global_model) local_data = client.get_data() train_one_epoch(local_model, local_data) local_weights.append(local_model.state_dict()) # 联邦平均 global_model = fed_avg(global_model, local_weights) return global_model

在收到遗忘请求后调用

forget_client_id = "client_42" remaining = all_clients - {forget_client_id} new_model = federated_unlearning_via_fine_tune(pre_trained_model, remaining, rounds=10)