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

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

22 June 2024

Kui Ren

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

5 / 5 papers shown

Title
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 66 28 0 12 Sep 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification Yuxin Wen Jonas Geiping Liam H. Fowl Micah Goldblum Tom Goldstein FedML 109 94 0 01 Feb 2022
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 68 2,652 0 04 Feb 2019
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 91 1,394 0 05 Dec 2017
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 535 99,991 0 04 Sep 2014