Zihou Wu

ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning

Federated learning (FL) faces a critical dilemma: existing protection mechanisms like differential privacy (DP) and homomorphic encryption (HE) enforce a rigid trade-off, forcing a choice between model utility and computational efficiency. This lack of flexibility hinders the practical implementatio…