v1v2v3 (latest)

Generalized Byzantine-tolerant SGD

27 February 2018

Papers citing "Generalized Byzantine-tolerant SGD"

50 / 133 papers shown

Title
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions Daniel Gutiérrez Yelizaveta Falkouskaya Jose L. Hernandez-Ramos Aris Anagnostopoulos I. Chatzigiannakis A. Vitaletti FedML 44 0 0 19 Aug 2025
Adversarial Robustness in Distributed Quantum Machine Learning Pouya Kananian Hans-Arno Jacobsen OOD AAML 56 0 0 16 Aug 2025
FedLAD: A Linear Algebra Based Data Poisoning Defence for Federated Learning Qi Xiong Hai Dong N. Sohrabi Z. Tari AAML FedML 32 0 0 04 Aug 2025
A Practical and Secure Byzantine Robust Aggregator De Zhang Lee Aashish Kolluri P. Saxena Ee-Chien Chang AAML FedML 121 0 0 29 Jun 2025
Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study Diogo Landau Ingeborg de Pater Mihaela Mitici Nishant Saurabh 65 0 0 31 May 2025
ByzFL: Research Framework for Robust Federated Learning Marc González R. Guerraoui Rafael Pinot Geovani Rizk John Stephan François Taïani FedML 82 0 0 30 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 221 3 0 03 May 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis Xinming Zhang Xiaoyong Xue Xiaoning Du Xiaofei Xie Teli Ma Meng Sun FedML AAML 133 1 0 06 Mar 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 133 0 0 03 Feb 2025
dSTAR: Straggler Tolerant and Byzantine Resilient Distributed SGD Jiahe Yan Pratik Chaudhari Leonard Kleinrock 140 0 0 10 Dec 2024
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning Kichang Lee Jaeho Jin JaeYeon Park Jeonggil Ko JeongGil Ko FedML 234 0 0 10 Dec 2024
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Yu Jiang Xindi Tong Ziyao Liu Huanyi Ye Chee Wei Tan K. Lam MU 104 4 0 17 Nov 2024
Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols Atharv Deshmukh AAML FedML 89 0 0 30 Oct 2024
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars Peilin He Chenkai Lin Isabella Montoya 74 1 0 17 Oct 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning M. A. Khan Yasra Chandio Fatima M. Anwar AAML 120 1 0 30 Sep 2024
On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks Hairi Minghong Fang Zifan Zhang Alvaro Velasquez Jia Liu AAML 137 1 0 19 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 128 9 0 02 Sep 2024
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients Shiyuan Zuo Xingrun Yan Rongfei Fan Li Shen P. Zhao Jie Xu Han Hu FedML 159 3 0 18 Aug 2024
Understanding Byzantine Robustness in Federated Learning with A Black-box Server Fangyuan Zhao Yuexiang Xie Xuebin Ren Bolin Ding Shusen Yang Yaliang Li FedML AAML 134 0 0 12 Aug 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning Yuxin Yang Qiang Li Chenfei Nie Yuan Hong Meng Pang Binghui Wang AAML FedML 155 1 0 21 Jul 2024
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 183 0 0 19 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 141 9 0 09 Jul 2024
Asynchronous Byzantine Federated Learning Bart Cox Abele Malan Lydia Y. Chen Jérémie Decouchant 114 2 0 03 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 132 2 0 01 Jun 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 156 4 0 31 May 2024
Fed-Credit: Robust Federated Learning with Credibility Management Jiayan Chen Zhirong Qian Tianhui Meng Xitong Gao Tian-sheng Wang Weijia Jia FedML AAML 101 1 0 20 May 2024
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning Sungwon Han Hyeonho Song Sungwon Park Meeyoung Cha FedML AAML 98 0 0 18 Apr 2024
MedBN: Robust Test-Time Adaptation against Malicious Test Samples Hyejin Park Jeongyeon Hwang Sunung Mun Sangdon Park Jungseul Ok AAML TTA OOD 117 7 0 28 Mar 2024
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity Shiyuan Zuo Xingrun Yan Rongfei Fan Han Hu Hangguan Shan Tony Q.S. Quek Puning Zhao AAML FedML 178 6 0 20 Mar 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh Jiayu Chen Gugan Thoppe Vaneet Aggarwal FedML 167 3 0 15 Mar 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates Youssef Allouah Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot Geovani Rizk S. Voitovych FedML 107 8 0 20 Feb 2024
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data Richeng Jin Yujie Gu Kai Yue Xiaofan He Zhaoyang Zhang Huaiyu Dai FedML 102 1 0 16 Feb 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 170 8 0 16 Jan 2024
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 137 30 0 27 Nov 2023
A Comprehensive Survey On Client Selections in Federated Learning A. Gouissem Z. Chkirbene R. Hamila FedML 75 11 0 12 Nov 2023
Robust and Actively Secure Serverless Collaborative Learning Olive Franzese Adam Dziedzic Christopher A. Choquette-Choo Mark R. Thomas Muhammad Ahmad Kaleem Stephan Rabanser Cong Fang Somesh Jha Nicolas Papernot Xiao Wang OOD 91 4 0 25 Oct 2023
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture Amine Barrak Mayssa Jaziri Ranim Trabelsi Fehmi Jaafar Fábio Petrillo 73 3 0 25 Sep 2023
Client-side Gradient Inversion Against Federated Learning from Poisoning Jiaheng Wei Yanjun Zhang Leo Yu Zhang Chao Chen Shirui Pan Kok-Leong Ong Jinchao Zhang Yang Xiang AAML 96 3 0 14 Sep 2023
SABLE: Secure And Byzantine robust LEarning Antoine Choffrut R. Guerraoui Rafael Pinot Renaud Sirdey John Stephan Martin Zuber AAML 153 2 0 11 Sep 2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy Zikai Zhang Rui Hu 99 11 0 07 Sep 2023
FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning Yanxin Yang Ming Hu Yue Cao Jun Xia Pengyu Zhang Yihao Huang Mingsong Chen FedML 167 6 0 22 Aug 2023
Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap Shiyuan Zuo Rongfei Fan Han Hu Ningsong Zhang Shiming Gong FedML 97 2 0 21 Aug 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis Sungwon Han Sungwon Park Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML 108 13 0 18 Aug 2023
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks Indu Joshi Priya Upadhya Gaurav Kumar Nayak Peter Schuffler Nassir Navab AAML FedML 95 0 0 14 Aug 2023
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection Nasimeh Heydaribeni Ruisi Zhang T. Javidi Cristina Nita-Rotaru F. Koushanfar FedML 158 1 0 04 Aug 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 119 25 0 18 Jul 2023
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment Xingrong Dong Zhaoxian Wu Qing Ling Zhi Tian AAML 165 15 0 16 Jul 2023
Temporal Gradient Inversion Attacks with Robust Optimization Bowen Li Jie Li Hanlin Gu Ruoxin Chen Jie Li Chentao Wu Na Ruan Xueming Si Lixin Fan AAML 84 2 0 13 Jun 2023
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning Hangtao Zhang Zeming Yao L. Zhang Shengshan Hu Chao Chen Alan Liew Zhetao Li 110 16 0 21 Apr 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 112 7 0 29 Mar 2023