v1v2v3 (latest)

Generalized Byzantine-tolerant SGD

27 February 2018

Papers citing "Generalized Byzantine-tolerant SGD"

50 / 133 papers shown

Title
Client-specific Property Inference against Secure Aggregation in Federated Learning Raouf Kerkouche G. Ács Mario Fritz FedML 155 12 0 07 Mar 2023
Mitigating Backdoors in Federated Learning with FLD Yi-Wen Lin Pengyuan Zhou Zhiqian Wu Yong Liao FedML 85 2 0 01 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 208 55 0 21 Feb 2023
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization Hamidreza Almasi Harshit Mishra Balajee Vamanan Sathya Ravi FedML 101 0 0 12 Feb 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity Youssef Allouah Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 143 62 0 03 Feb 2023
Security Analysis of SplitFed Learning M. A. Khan Virat Shejwalkar Amir Houmansadr Fatima M. Anwar FedML 108 11 0 04 Dec 2022
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 160 1 0 24 Nov 2022
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints Minghui Li Wei Wan Jianrong Lu Shengshan Hu Junyu Shi L. Zhang Man Zhou Yifeng Zheng FedML 153 7 0 04 Oct 2022
Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms Ming Xiang Lili Su FedML 118 4 0 03 Oct 2022
A simplified convergence theory for Byzantine resilient stochastic gradient descent Lindon Roberts E. Smyth 122 3 0 25 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 198 18 0 21 Aug 2022
Detection and Mitigation of Byzantine Attacks in Distributed Training Konstantinos Konstantinidis Namrata Vaswani Aditya Ramamoorthy AAML 141 1 0 17 Aug 2022
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning Ashish Gupta Tie-Mei Luo Mao V. Ngo Sajal K. Das AAML FedML 129 18 0 14 Aug 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning Zahra Ghodsi Mojan Javaheripi Nojan Sheybani Xinqiao Zhang Ke Huang F. Koushanfar FedML 149 22 0 24 Jun 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules Zhaoxian Wu Tianyi Chen Qing Ling 128 47 0 09 Jun 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 112 7 0 06 Jun 2022
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 118 78 0 24 May 2022
Over-The-Air Federated Learning under Byzantine Attacks Houssem Sifaou Geoffrey Ye Li OOD FedML 122 8 0 05 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 161 8 0 05 May 2022
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection Wei Wan Shengshan Hu Jianrong Lu L. Zhang Hai Jin Yuanyuan He AAML 161 40 0 28 Apr 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 127 13 0 03 Apr 2022
Byzantine-Robust Decentralized Learning via ClippedGossip Lie He Sai Praneeth Karimireddy Martin Jaggi FedML 104 28 0 03 Feb 2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning Xingyu Li Zhe Qu Shangqing Zhao Bo Tang Zhuo Lu Yao-Hong Liu AAML 126 108 0 08 Jan 2022
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning Junyu Shi Wei Wan Shengshan Hu Jianrong Lu L. Zhang AAML 128 94 0 29 Dec 2021
Certified Federated Adversarial Training Giulio Zizzo Ambrish Rawat M. Sinn S. Maffeis C. Hankin FedML 77 10 0 20 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 131 12 0 19 Dec 2021
Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation Martin Figura Yixuan Lin Ji Liu V. Gupta AAML 91 3 0 12 Nov 2021
Robust Federated Learning via Over-The-Air Computation Houssem Sifaou Geoffrey Ye Li FedML 171 18 0 01 Nov 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments Joost Verbraeken M. Vos J. Pouwelse 94 4 0 21 Oct 2021
Combining Differential Privacy and Byzantine Resilience in Distributed SGD R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan FedML 129 5 0 08 Oct 2021
Exploiting Heterogeneity in Robust Federated Best-Arm Identification A. Mitra Hamed Hassani George Pappas FedML 128 29 0 13 Sep 2021
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data Kun Zhai Qiang Ren Junli Wang Chungang Yan 60 14 0 06 Sep 2021
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning Yusen Wu Hao Chen Xin Wang Chao Liu Phuong Nguyen Yelena Yesha AAML 83 6 0 05 Sep 2021
Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy Nirupam Gupta Thinh T. Doan Nitin H. Vaidya FedML 91 11 0 26 Aug 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 172 241 0 23 Aug 2021
Efficient Byzantine-Resilient Stochastic Gradient Desce Kaiyun Li Xiaojun Chen Ye Dong Peng Zhang Dakui Wang Shuai Zeng 44 0 0 15 Aug 2021
Aspis: Robust Detection for Distributed Learning Konstantinos Konstantinidis A. Ramamoorthy AAML 116 5 0 05 Aug 2021
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning Kamala Varma Yi Zhou Nathalie Baracaldo Ali Anwar FedML 97 17 0 26 Jul 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning Shuo Liu AI4CE OOD 117 13 0 16 Jun 2021
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning Feng-Shih Lin Weiyu Li Qing Ling FedML 159 6 0 13 Jun 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 185 142 0 31 Mar 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference Jiyuan Tu Weidong Liu Xiaojun Mao Xi Chen 76 21 0 04 Mar 2021
Communication-efficient Byzantine-robust distributed learning with statistical guarantee Xingcai Zhou Le Chang Pengfei Xu Shaogao Lv FedML 50 0 0 28 Feb 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan 105 34 0 16 Feb 2021
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation Zhuosheng Zhang Jiarui Li Shucheng Yu C. Makaya FedML 88 26 0 04 Feb 2021
Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent Nirupam Gupta Nitin H. Vaidya 85 16 0 28 Jan 2021
Approximate Byzantine Fault-Tolerance in Distributed Optimization Shuo Liu Nirupam Gupta Nitin H. Vaidya 238 46 0 22 Jan 2021
Byzantine-Resilient Non-Convex Stochastic Gradient Descent Zeyuan Allen-Zhu Faeze Ebrahimian Haibin Zhang Dan Alistarh FedML 145 77 0 28 Dec 2020
Better scalability under potentially heavy-tailed feedback Matthew J. Holland 100 1 0 14 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 387 421 0 07 Dec 2020