Homomorphic Encryption (HE) for Secure Aggregation
Was this section helpful?
A Survey on Privacy-Preserving Federated Learning, Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong, 2019IEEE Transactions on Knowledge and Data Engineering, Vol. 34 (IEEE Computer Society)DOI: 10.1109/TKDE.2019.2945250 - Provides a comprehensive review of privacy-preserving techniques in federated learning, including a detailed discussion of homomorphic encryption's role, trade-offs, and applications in secure aggregation.