IEEE

An Efficient Architecture for Edge AI Federated Learning With Homomorphic Encryption

Abstract: With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a ...
IEEE

An Efficient and Multi-Private Key Secure Aggregation Scheme for Federated Learning

Abstract: In light of the emergence of privacy breaches in federated learning, secure aggregation protocols, which mainly adopt either homomorphic encryption or threshold secret sharing techniques, ...