ABE-FL: Efficient and secure federated learning based on CP-ABE with high-security elliptic curves
Existing secure federated learning (FL) schemes suffer from three major limitations: (1) the initial global model is unprotected during distribution; (2) multi-party computation incurs high communication overhead; and (3) the use of homomorphic encryption (HE) for parameter protection results in computational inefficie...