The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective

16 May 2024

Papers citing "The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective"

7 / 7 papers shown

Title
Binary Federated Learning with Client-Level Differential Privacy Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 58 2 0 07 Aug 2023
GradViT: Gradient Inversion of Vision Transformers Ali Hatamizadeh Hongxu Yin H. Roth Wenqi Li Jan Kautz Daguang Xu Pavlo Molchanov ViT 131 63 0 22 Mar 2022
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr MIACV MIALM 83 704 0 07 Dec 2021
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 125 1,616 0 01 Nov 2019
cpSGD: Communication-efficient and differentially-private distributed SGD Naman Agarwal A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 123 490 0 27 May 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 261 4,135 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016