v1v2v3v4 (latest)

Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection

28 April 2022

Yuanyuan He

Papers citing "Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection"

24 / 24 papers shown

Title
MARS: A Malignity-Aware Backdoor Defense in Federated Learning Wei Wan Yuxuan Ning Zhicong Huang Cheng Hong Shengshan Hu Ziqi Zhou Y. Zhang Tianqing Zhu Wanlei Zhou L. Zhang AAML 4 0 0 21 Sep 2025
FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks Enrique Mármol Campos Aurora González-Vidal José Luis Hernández Ramos A. Gómez-Skarmeta AAML 4 0 0 26 Aug 2025
SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning Likhitha Annapurna Kavuri Akshay Mhatre Akarsh K Nair Deepti Gupta 60 1 0 19 Jun 2025
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning Zhiqiang Li Haiyong Bao Menghong Guan Hao Pan Cheng Huang Hong-Ning Dai FedML 75 0 0 16 Jun 2025
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
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll.Berral Balázs Pejó FedML 135 1 0 07 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 102 0 0 04 Oct 2024
SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks Omid Tavallaie Kanchana Thilakarathna Suranga Seneviratne Aruna Seneviratne Albert Y. Zomaya FedML 89 4 0 23 Sep 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
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
DarkFed: A Data-Free Backdoor Attack in Federated Learning Minghui Li Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Leo Yu Zhang Yichen Wang FedML 112 10 0 06 May 2024
MISA: Unveiling the Vulnerabilities in Split Federated Learning Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Minghui Li Leo Yu Zhang Hai Jin 63 7 0 18 Dec 2023
FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy Ziru Niu Senior Member Ieee Hai Dong •. A. K. Qin Senior Member Ieee Tao Gu 121 13 0 15 Oct 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 102 28 0 07 Aug 2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions Bingnan Xiao Xichen Yu Wei Ni Xin Wang H. Vincent Poor 125 27 0 03 Jul 2023
A Systematic Literature Review on Client Selection in Federated Learning Carl Smestad Jingyue Li 106 23 0 08 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
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data Haizhou Du Chengdong Ni 59 1 0 01 Mar 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 109 17 0 13 Feb 2023
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints Minghui Li Wei Wan Jianrong Lu Shengshan Hu Junyu Shi L. Zhang Man Zhou Yifeng Zheng FedML 153 7 0 04 Oct 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 141 14 0 10 Jun 2022
Federated Multi-Armed Bandits Under Byzantine Attacks Artun Saday Ilker Demirel Yiğit Yıldırım Cem Tekin AAML 116 14 0 09 May 2022
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning Junyu Shi Wei Wan Shengshan Hu Jianrong Lu L. Zhang AAML 128 94 0 29 Dec 2021
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 165 64 0 25 Feb 2020