2026
ADVERSARIAL UPDATE-BASED FEDERATED UNLEARNING FOR POISONED MODEL RECOVERY
ICASSP 2026oral
Federated learning (FL) is vulnerable to poisoning attacks, where malicious clients upload manipulated updates to degrade the performance of the global model. Although detection methods can identify and remove malicious clients, the model remains affected. Retraining from scratch is effective but co…