A Privacy-Preserving Distributed Machine Learning Aggregation Scheme
A multi-server secure aggregation scheme based on additive secret sharing that achieves information-theoretic privacy protection, effectively breaking the trilemma among privacy, accuracy, and efficiency.
Ming-Yuan Li
· Applied and Computational En... · 0 citations