Learning from History for Byzantine Robust Optimization

18 December 2020

Sai Praneeth Karimireddy

Lie He

Papers citing "Learning from History for Byzantine Robust Optimization"

25 / 25 papers shown

Title
Bayesian Robust Aggregation for Federated Learning Aleksandr Karakulev Usama Zafar Salman Toor Prashant Singh FedML 31 0 0 05 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 41 0 0 03 May 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 39 0 0 02 Apr 2025
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 26 0 0 10 Sep 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 33 0 0 09 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 21 1 0 21 Jul 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 14 1 0 01 Jun 2024
Byzantine-Robust Gossip: Insights from a Dual Approach Renaud Gaucher Hadrien Hendrikx Aymeric Dieuleveut AAML 23 0 0 06 May 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer S. Pokutta AAML 49 1 0 19 Feb 2024
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates Ahmad Rammal Kaja Gruntkowska Nikita Fedin Eduard A. Gorbunov Peter Richtárik 32 5 0 15 Oct 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K. R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 11 3 0 07 Aug 2023
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning Wei Wan Shengshan Hu Minghui Li Jianrong Lu Longling Zhang Leo Yu Zhang Hai Jin AAML FedML 14 20 0 07 Aug 2023
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment Xingrong Dong Zhaoxian Wu Qing Ling Zhi Tian AAML 22 9 0 16 Jul 2023
Clip21: Error Feedback for Gradient Clipping Sarit Khirirat Eduard A. Gorbunov Samuel Horváth Rustem Islamov Fakhri Karray Peter Richtárik 25 10 0 30 May 2023
Can Decentralized Learning be more robust than Federated Learning? Mathilde Raynal Dario Pasquini Carmela Troncoso OOD FedML 22 4 0 07 Mar 2023
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 11 1 0 24 Nov 2022
Impact of Redundancy on Resilience in Distributed Optimization and Learning Shuo Liu Nirupam Gupta Nitin H. Vaidya 11 2 0 16 Nov 2022
Secure Distributed Optimization Under Gradient Attacks Shuhua Yu S. Kar 22 13 0 28 Oct 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 21 13 0 21 Aug 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning Zahra Ghodsi Mojan Javaheripi Nojan Sheybani Xinqiao Zhang Ke Huang F. Koushanfar FedML 16 17 0 24 Jun 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules Zhaoxian Wu Tianyi Chen Qing Ling 18 36 0 09 Jun 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation Ljubomir Rokvic Panayiotis Danassis Sai Praneeth Karimireddy Boi Faltings TDI 10 1 0 23 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 173 410 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 9 10 0 03 Jul 2021
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 6 61 0 03 Aug 2020