Differentially Private Federated Learning without Noise Addition: When is it Possible?

6 May 2024

Papers citing "Differentially Private Federated Learning without Noise Addition: When is it Possible?"

3 / 3 papers shown

Title
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy" Nicholas Carlini Vitaly Feldman Milad Nasr DD 42 17 0 29 Sep 2022
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 61 164 0 29 Sep 2021
Information Theoretic Secure Aggregation with User Dropouts Yizhou Zhao Hua Sun FedML 59 67 0 19 Jan 2021