ResearchTrend.AI
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning

Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning

Peng Kuang
Zhiwei Chang
Jiahui Hu
Xiaoyi Pang
Jiacheng Du
Yongle Chen
Kui Ren
ArXivPDFHTML

Papers citing "Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning"

3 / 3 papers shown
Title
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
Sanjay Kariyappa
Chuan Guo
Kiwan Maeng
Wenjie Xiong
G. E. Suh
Moinuddin K. Qureshi
Hsien-Hsin S. Lee
FedML
54
28
0
12 Sep 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Micah Goldblum
Tom Goldstein
FedML
101
94
0
01 Feb 2022
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Chengyue Wu
Song Han
Huizi Mao
Yu Wang
W. Dally
89
1,394
0
05 Dec 2017

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.