Byzantine Stochastic Gradient Descent

23 March 2018

Dan Alistarh

Papers citing "Byzantine Stochastic Gradient Descent"

46 / 46 papers shown

Title
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy Gleb Molodtsov Daniil Medyakov Sergey Skorik Nikolas Khachaturov Shahane Tigranyan Vladimir Aletov A. Avetisyan Martin Takáč Aleksandr Beznosikov AAML 35 0 0 12 May 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis Xinming Zhang Xiaoyong Xue Xiaoning Du Xiaofei Xie Yong-Jin Liu Meng Sun FedML AAML 60 0 0 06 Mar 2025
On the Byzantine Fault Tolerance of signSGD with Majority Vote Emanuele Mengoli Luzius Moll Virgilio Strozzi El-Mahdi El-Mhamdi AAML FedML 69 0 0 26 Feb 2025
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML T. Dahan Kfir Y. Levy 70 0 0 17 Jan 2025
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 53 0 0 19 Jul 2024
Asynchronous Byzantine Federated Learning Bart Cox Abele Malan Lydia Y. Chen Jérémie Decouchant 50 1 0 03 Jun 2024
Byzantine-Robust Gossip: Insights from a Dual Approach Renaud Gaucher Hadrien Hendrikx Aymeric Dieuleveut AAML 33 0 0 06 May 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh Jiayu Chen Gugan Thoppe Vaneet Aggarwal FedML 66 1 0 15 Mar 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 57 1 0 19 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning Youssef Allouah R. Guerraoui John Stephan OOD 26 2 0 22 Dec 2023
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates Ahmad Rammal Kaja Gruntkowska Nikita Fedin Eduard A. Gorbunov Peter Richtárik 45 5 0 15 Oct 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization Florian E. Dorner Nikola Konstantinov Georgi Pashaliev Martin Vechev FedML 22 5 0 25 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
Randomized Kaczmarz in Adversarial Distributed Setting Longxiu Huang Xia Li Deanna Needell 23 2 0 24 Feb 2023
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent Shashank Reddy Chirra K. Nadimpalli Shrisha Rao 27 0 0 16 Jan 2023
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 22 1 0 24 Nov 2022
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 64 162 0 23 Nov 2022
Secure Distributed Optimization Under Gradient Attacks Shuhua Yu S. Kar 32 14 0 28 Oct 2022
Linear Scalarization for Byzantine-robust learning on non-IID data Latifa Errami El Houcine Bergou AAML 29 0 0 15 Oct 2022
Network-Level Adversaries in Federated Learning Giorgio Severi Matthew Jagielski Gokberk Yar Yuxuan Wang Alina Oprea Cristina Nita-Rotaru FedML 28 17 0 27 Aug 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 44 6 0 06 Jun 2022
Communication-efficient distributed eigenspace estimation with arbitrary node failures Vasileios Charisopoulos Anil Damle 16 1 0 31 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 98 30 0 24 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 29 7 0 05 May 2022
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
Secure Distributed Training at Scale Eduard A. Gorbunov Alexander Borzunov Michael Diskin Max Ryabinin FedML 26 15 0 21 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
Towards Demystifying Serverless Machine Learning Training Jiawei Jiang Shaoduo Gan Yue Liu Fanlin Wang Gustavo Alonso Ana Klimovic Ankit Singla Wentao Wu Ce Zhang 19 122 0 17 May 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics J. Hayase Weihao Kong Raghav Somani Sewoong Oh AAML 24 150 0 22 Apr 2021
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 30 173 0 18 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Mitigating Sybil Attacks on Differential Privacy based Federated Learning Yupeng Jiang Yong Li Yipeng Zhou Xi Zheng FedML AAML 29 15 0 20 Oct 2020
Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding Di Wang Xiangyu Guo Shi Li Jinhui Xu 23 3 0 19 Oct 2020
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui Arsany Guirguis L. Hoang Sébastien Rouault FedML 26 64 0 03 Aug 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 238 0 21 Jul 2020
Incentives for Federated Learning: a Hypothesis Elicitation Approach Yang Liu Jiaheng Wei FedML 40 21 0 21 Jul 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 20 58 0 08 Jun 2020
Resilience in Collaborative Optimization: Redundant and Independent Cost Functions Nirupam Gupta Nitin H. Vaidya 30 18 0 21 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 24 63 0 25 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 37 629 0 31 Dec 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation Shashank Rajput Hongyi Wang Zachary B. Charles Dimitris Papailiopoulos FedML 22 131 0 29 Jul 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li Canran Xu Xiangnan He Yixin Cao Tat-Seng Chua FedML 17 587 0 09 Nov 2018
signSGD with Majority Vote is Communication Efficient And Fault Tolerant Jeremy Bernstein Jiawei Zhao Kamyar Azizzadenesheli Anima Anandkumar FedML 31 46 0 11 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