An Efficient and Multi-private Key Secure Aggregation for Federated Learning

no code implementations • 15 Jun 2023 • Xue Yang, Zifeng Liu, Xiaohu Tang, Rongxing Lu, Bo Liu

With the emergence of privacy leaks in federated learning, secure aggregation protocols that mainly adopt either homomorphic encryption or threshold secret sharing have been widely developed for federated learning to protect the privacy of the local training data of each client.

Federated Learning