Federated Unlearning
摘要
Having examined exact and approximate unlearning in centralized settings, auditing mechanisms for verifying unlearning guarantees, and recent developments in graph unlearning, this chapter turns to federated unlearning—the challenge of forgetting data in federated learning systems where training data remain distributed across clients.