Byzantine-Robust Federated Learning with Optimal Statistical Rates and
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Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees

24 May 2022

Michael I. Jordan

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Papers citing "Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees"

18 / 18 papers shown

Title
Financial Data Analysis with Robust Federated Logistic Regression Kun Yang Nikhil Krishnan Sanjeev Kulkarni FedML 101 0 0 28 Apr 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value Khaoula Otmani Rachid Elazouzi Vincent Labatut FedML AAML 191 2 0 24 Feb 2025
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 143 2 0 02 Dec 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah Abdellah El Mrini R. Guerraoui Nirupam Gupta Rafael Pinot FedML 78 3 0 30 Sep 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 101 4 0 16 Aug 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 80 5 0 20 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 150 1 0 19 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 61 0 0 16 Feb 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 60 0 0 26 Dec 2023
Attacking Byzantine Robust Aggregation in High Dimensions Sarthak Choudhary Aashish Kolluri Prateek Saxena AAML 75 1 0 22 Dec 2023
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers Yuhao Yi R. You Hong Liu Changxin Liu Yuan Wang Jiancheng Lv OOD 108 3 0 20 Dec 2023
Exploring the Robustness of Decentralized Training for Large Language Models Lin Lu Chenxi Dai Wangcheng Tao Binhang Yuan Yanan Sun Pan Zhou 77 1 0 01 Dec 2023
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning Puning Zhao Fei Yu Zhiguo Wan FedML 107 14 0 24 Aug 2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers Puning Zhao Zhiguo Wan OOD FedML 102 4 0 25 Jul 2023
Byzantine-Robust Clustered Federated Learning Zhixu Tao Kun Yang Sanjeev R. Kulkarni OOD FedML 61 2 0 01 Jun 2023
Practical Differentially Private and Byzantine-resilient Federated Learning Zihang Xiang Tianhao Wang Wanyu Lin Di Wang FedML 73 23 0 15 Apr 2023
Secure Distributed Optimization Under Gradient Attacks Shuhua Yu S. Kar 90 15 0 28 Oct 2022
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks Ali Ramezani-Kebrya Iman Tabrizian Fartash Faghri P. Popovski AAML FedML 62 6 0 16 Jul 2022