On the (In)security of Peer-to-Peer Decentralized Machine Learning

17 May 2022

Papers citing "On the (In)security of Peer-to-Peer Decentralized Machine Learning"

6 / 6 papers shown

Title
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 32 0 0 03 Oct 2024
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification Yuxin Wen Jonas Geiping Liam H. Fowl Micah Goldblum Tom Goldstein FedML 71 91 0 01 Feb 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 64 180 0 06 Dec 2021
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning Bicheng Ying Kun Yuan Hanbin Hu Yiming Chen W. Yin FedML 23 27 0 08 Nov 2021
Privacy Amplification by Decentralization Edwige Cyffers A. Bellet FedML 34 39 0 09 Dec 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 177 357 0 24 Mar 2020