Adaptive Federated Unlearning in Heterogeneous Edge Networks via Contrastive Fine-Tuning
Federated unlearning (FU) has become a critical capability of privacy-sensitive edge intelligence, which enables mobile and Internet of Things (IoT) devices to revoke previously contributing data from collaboratively trained models. While previous studies have explored unlearning via retraining or approximate mechanism...