Robust Aggregation for Federated Learning

31 December 2019

Papers citing "Robust Aggregation for Federated Learning"

50 / 269 papers shown

Title
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 6 0 0 11 Oct 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing Ankit Pratap Singh Namrata Vaswani 19 0 0 25 Sep 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot Geovani Rizk OOD 12 15 0 24 Sep 2023
SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks Zizhen Liu Weiyang He Chip-Hong Chang Jing Ye Huawei Li Xiaowei Li 24 4 0 19 Sep 2023
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning Yanqi Qiao Dazhuang Liu Congwen Chen Rui Wang Kaitai Liang FedML AAML 18 1 0 31 Aug 2023
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning Puning Zhao Fei Yu Zhiguo Wan FedML 26 13 0 24 Aug 2023
Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap Shiyuan Zuo Rongfei Fan Han Hu Ningsong Zhang Shiming Gong FedML 8 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 17 10 0 18 Aug 2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks Ehsanul Kabir Zeyu Song Md. Rafi Ur Rashid Shagufta Mehnaz 11 6 0 10 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 38 0 0 04 Aug 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 23 28 0 18 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 13 20 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 22 9 0 16 Jul 2023
The Geometric Median and Applications to Robust Mean Estimation Stanislav Minsker Nate Strawn 26 4 0 06 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 24 4 0 05 Jul 2023
Pollen: High-throughput Federated Learning Simulation via Resource-Aware Client Placement Lorenzo Sani Pedro Gusmão Alexandru Iacob Wanru Zhao Xinchi Qiu Yan Gao Javier Fernandez-Marques Nicholas D. Lane 17 0 0 30 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan Tao Li Henger Li Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 17 10 0 23 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report) Henger Li Tianyi Xu Tao Li Yunian Pan Quanyan Zhu Zizhan Zheng AAML FedML 12 1 0 23 Jun 2023
Fedstellar: A Platform for Decentralized Federated Learning Enrique Tomás Martínez Beltrán Á. Gómez Chao Feng Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 11 40 0 16 Jun 2023
Provably Personalized and Robust Federated Learning Mariel A. Werner Lie He Michael I. Jordan Martin Jaggi Sai Praneeth Karimireddy FedML 19 11 0 14 Jun 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 25 2 0 13 Jun 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Tianyu Du Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 16 11 0 08 Jun 2023
Covert Communication Based on the Poisoning Attack in Federated Learning Junchuan Liang Rong Wang FedML 8 1 0 02 Jun 2023
Byzantine-Robust Clustered Federated Learning Zhixu Tao Kun Yang Sanjeev R. Kulkarni OOD FedML 10 2 0 01 Jun 2023
Federated Learning in the Presence of Adversarial Client Unavailability Lili Su Ming Xiang Jiaming Xu Pengkun Yang FedML AAML 8 2 0 31 May 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity Konstantin Mishchenko Rustem Islamov Eduard A. Gorbunov Samuel Horváth FedML 33 11 0 29 May 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 25 9 0 19 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 20 1 0 19 May 2023
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation M. Xhemrishi Johan Ostman A. Wachter-Zeh Alexandre Graell i Amat FedML 17 6 0 09 May 2023
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection Thuy-Dung Nguyen Anh Duy Nguyen Kok-Seng Wong H. Pham T. Nguyen Phi Le Nguyen Truong Thao Nguyen FedML AAML 15 4 0 29 Apr 2023
Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization Christian A. Schroth Stefan Vlaski A. Zoubir FedML 43 1 0 27 Apr 2023
Practical Differentially Private and Byzantine-resilient Federated Learning Zihang Xiang Tianhao Wang Wanyu Lin Di Wang FedML 14 21 0 15 Apr 2023
Byzantine-Resilient Federated Learning at Edge Youming Tao Sijia Cui Wenlu Xu Haofei Yin Dongxiao Yu W. Liang Xiuzhen Cheng FedML 8 19 0 18 Mar 2023
Multi-metrics adaptively identifies backdoors in Federated learning Siquan Huang Yijiang Li Chong Chen Leyu Shi Ying Gao AAML 23 19 0 12 Mar 2023
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning Yi-Rui Yang Kun Wang Wulu Li FedML 21 3 0 09 Mar 2023
Byzantine-Robust Loopless Stochastic Variance-Reduced Gradient Nikita Fedin Eduard A. Gorbunov 17 2 0 08 Mar 2023
Can Decentralized Learning be more robust than Federated Learning? Mathilde Raynal Dario Pasquini Carmela Troncoso OOD FedML 27 4 0 07 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 32 56 0 03 Mar 2023
Mitigating Backdoors in Federated Learning with FLD Yi-Wen Lin Pengyuan Zhou Zhiqian Wu Yong Liao FedML 8 2 0 01 Mar 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 40 12 0 21 Feb 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
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning Shenghui Li Edith C. H. Ngai Thiemo Voigt FedML AAML 12 51 0 14 Feb 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 25 13 0 13 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 19 49 0 03 Feb 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 25 9 0 29 Jan 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning Kavita Kumari Phillip Rieger Hossein Fereidooni Murtuza Jadliwala A. Sadeghi AAML FedML 6 31 0 23 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 32 1 0 18 Jan 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 20 0 0 28 Dec 2022
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
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization Yueqi Xie Weizhong Zhang Renjie Pi Fangzhao Wu Qifeng Chen Xing Xie Sunghun Kim FedML 8 7 0 10 Nov 2022