Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning

27 April 2024

Papers citing "Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning"

4 / 4 papers shown

Title
Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption Guowen Xu Guanlin Li Shangwei Guo Tianwei Zhang Hongwei Li FedML 30 3 0 11 Jul 2022
On the (In)security of Peer-to-Peer Decentralized Machine Learning Dario Pasquini Mathilde Raynal Carmela Troncoso OOD FedML 45 19 0 17 May 2022
When the Curious Abandon Honesty: Federated Learning Is Not Private Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML AAML 71 181 0 06 Dec 2021
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 67 167 0 29 Sep 2021