Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks

29 December 2019

Tianyi Chen

Papers citing "Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks"

30 / 30 papers shown

Title
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 55 0 0 01 Apr 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 38 0 0 03 Feb 2025
Geometric Median (GM) Matching for Robust Data Pruning Anish Acharya Inderjit S Dhillon Sujay Sanghavi AAML 59 0 0 20 Jan 2025
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 27 1 0 21 Jul 2024
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates Ahmad Rammal Kaja Gruntkowska Nikita Fedin Eduard A. Gorbunov Peter Richtárik 35 5 0 15 Oct 2023
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment Xingrong Dong Zhaoxian Wu Qing Ling Zhi Tian AAML 27 9 0 16 Jul 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 16 4 0 06 Jun 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 69 47 0 21 Feb 2023
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 28 29 0 27 Nov 2022
Online Multi-Agent Decentralized Byzantine-robust Gradient Estimation Alexandre Reiffers Isabel Amigo 8 0 0 30 Sep 2022
Enhanced Security and Privacy via Fragmented Federated Learning N. Jebreel J. Domingo-Ferrer Alberto Blanco-Justicia David Sánchez FedML 13 26 0 13 Jul 2022
Defending against the Label-flipping Attack in Federated Learning N. Jebreel J. Domingo-Ferrer David Sánchez Alberto Blanco-Justicia AAML 13 36 0 05 Jul 2022
Automating the Design and Development of Gradient Descent Trained Expert System Networks Jeremy Straub 8 9 0 04 Jul 2022
FL-Defender: Combating Targeted Attacks in Federated Learning N. Jebreel J. Domingo-Ferrer AAML FedML 43 56 0 02 Jul 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules Zhaoxian Wu Tianyi Chen Qing Ling 31 36 0 09 Jun 2022
Over-The-Air Federated Learning under Byzantine Attacks Houssem Sifaou Geoffrey Ye Li OOD FedML 25 7 0 05 May 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 21 12 0 03 Apr 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 28 416 0 24 Nov 2021
MANDERA: Malicious Node Detection in Federated Learning via Ranking Wanchuang Zhu Benjamin Zi Hao Zhao Simon Luo Tongliang Liu Kefeng Deng AAML 8 8 0 22 Oct 2021
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers Xin-Yue Fan Yue Wang Yan Huo Zhi Tian FedML 17 23 0 18 Oct 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis Yi Liu Yuanshao Zhu James J. Q. Yu FedML 17 28 0 14 Oct 2021
Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System Logan Brown Reid Pezewski Jeremy Straub AILaw 16 2 0 05 Aug 2021
Fake News and Phishing Detection Using a Machine Learning Trained Expert System Benjamin Fitzpatrick X. Liang Jeremy Straub 22 6 0 04 Aug 2021
Local SGD: Unified Theory and New Efficient Methods Eduard A. Gorbunov Filip Hanzely Peter Richtárik FedML 19 108 0 03 Nov 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 19 0 0 26 Aug 2020
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 22 5 0 02 Mar 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability Yikai Yan Chaoyue Niu Yucheng Ding Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Zhihua Wu FedML 36 37 0 18 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 19 223 0 01 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 30 627 0 31 Dec 2019
Securing Distributed Gradient Descent in High Dimensional Statistical Learning Lili Su Jiaming Xu FedML 137 35 0 26 Apr 2018