Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent

16 May 2017

Yudong Chen

Lili Su

Jiaming Xu

FedML

ArXiv PDF HTML

Papers citing "Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent"

36 / 36 papers shown

Title
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy Zikai Zhang Rui Hu 41 11 0 07 Sep 2023
On the Optimal Batch Size for Byzantine-Robust Distributed Learning Yi-Rui Yang Chang-Wei Shi Wu-Jun Li FedML AAML 27 0 0 23 May 2023
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning Yi-Rui Yang Kun Wang Wulu Li FedML 42 3 0 09 Mar 2023
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent Shashank Reddy Chirra K. Nadimpalli Shrisha Rao 27 0 0 16 Jan 2023
Byzantine Spectral Ranking Arnhav Datar A. Rajkumar Jonathan C. Augustine 28 4 0 15 Nov 2022
Secure Distributed Optimization Under Gradient Attacks Shuhua Yu S. Kar 32 14 0 28 Oct 2022
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information Xiaoyu Cao Jinyuan Jia Zaixi Zhang Neil Zhenqiang Gong FedML MU AAML 29 73 0 20 Oct 2022
Online Multi-Agent Decentralized Byzantine-robust Gradient Estimation Alexandre Reiffers Isabel Amigo 15 0 0 30 Sep 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules Zhaoxian Wu Tianyi Chen Qing Ling 31 36 0 09 Jun 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 27 7 0 05 May 2022
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents Arman Adibi A. Mitra George J. Pappas Hamed Hassani 29 3 0 07 Apr 2022
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients Xiaoyu Cao Neil Zhenqiang Gong 26 108 0 16 Mar 2022
Robust Federated Learning via Over-The-Air Computation Houssem Sifaou Geoffrey Ye Li FedML 9 18 0 01 Nov 2021
MANDERA: Malicious Node Detection in Federated Learning via Ranking Wanchuang Zhu Benjamin Zi Hao Zhao Simon Luo Tongliang Liu Kefeng Deng AAML 29 8 0 22 Oct 2021
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients Lingjiao Chen Leshang Chen Hongyi Wang S. Davidson Yan Sun FedML 37 1 0 04 Oct 2021
Data-Free Evaluation of User Contributions in Federated Learning Hongtao Lv Zhenzhe Zheng Tie-Mei Luo Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv FedML 15 23 0 24 Aug 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML OOD AAML 35 10 0 03 Jul 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie Minghao Chen Pin-Yu Chen Bo-wen Li FedML 36 165 0 15 Jun 2021
On the Strategyproofness of the Geometric Median El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 30 18 0 04 Jun 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 34 129 0 31 Mar 2021
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems Ranwa Al Mallah Godwin Badu-Marfo Bilal Farooq 37 19 0 26 Feb 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 27 28 0 14 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 27 270 0 18 Dec 2020
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 30 173 0 18 Dec 2020
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions Alberto Blanco-Justicia J. Domingo-Ferrer Sergio Martínez David Sánchez Adrian Flanagan K. E. Tan FedML 26 110 0 12 Dec 2020
ByzShield: An Efficient and Robust System for Distributed Training Konstantinos Konstantinidis A. Ramamoorthy AAML FedML 32 11 0 10 Oct 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data Jie Peng Zhaoxian Wu Qing Ling Tianyi Chen OOD FedML 26 23 0 17 Sep 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 238 0 21 Jul 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 29 86 0 16 May 2020
Resilient Distributed Diffusion in Networks with Adversaries Jiani Li W. Abbas X. Koutsoukos AAML 18 31 0 23 Mar 2020
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 29 5 0 02 Mar 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 22 63 0 25 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 37 629 0 31 Dec 2019
Fault Tolerance in Iterative-Convergent Machine Learning Aurick Qiao Bryon Aragam Bingjing Zhang Eric Xing 26 41 0 17 Oct 2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett FedML 32 97 0 14 Jun 2018