Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

5 March 2018

Papers citing "Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates"

50 / 228 papers shown

Title
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 29 0 0 14 May 2025
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy Gleb Molodtsov Daniil Medyakov Sergey Skorik Nikolas Khachaturov Shahane Tigranyan Vladimir Aletov A. Avetisyan Martin Takáč Aleksandr Beznosikov AAML 35 0 0 12 May 2025
Bayesian Robust Aggregation for Federated Learning Aleksandr Karakulev Usama Zafar Salman Toor Prashant Singh FedML 40 0 0 05 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 55 0 0 03 May 2025
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework Daniel Commey Garth V. Crosby 41 0 0 03 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices Zhengyi Zhong Weidong Bao Ji Wang Jianguo Chen Lingjuan Lyu Wei Yang Bryan Lim CLL 46 0 0 01 May 2025
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning Zhiyong Jin Runhua Xu Chong Li Y. Liu Jianxin Li AAML FedML 42 0 0 30 Apr 2025
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning Phung Lai Guanxiong Liu Hai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu FedML 36 0 0 17 Apr 2025
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems S. Mandelli Vinod Puthuvath Anderson Rocha Rafidha Rehiman K. A. Mauro Conti AAML 33 0 0 06 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 52 0 0 02 Apr 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis Xinming Zhang Xiaoyong Xue Xiaoning Du Xiaofei Xie Yong-Jin Liu Meng Sun FedML AAML 60 0 0 06 Mar 2025
Compute Or Load KV Cache? Why Not Both? Shuowei Jin Xueshen Liu Qingzhao Zhang Z. Morley Mao 41 6 0 24 Feb 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 82 0 0 24 Feb 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value Khaoula Otmani Rachid Elazouzi Vincent Labatut FedML AAML 90 2 0 24 Feb 2025
FedCC: Robust Federated Learning against Model Poisoning Attacks Hyejun Jeong H. Son Seohu Lee Jayun Hyun T. Chung FedML 64 5 0 20 Feb 2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations J. Zhang Huan Li Dazhong Rong Yan Zhao Ke Chen Lidan Shou AAML 80 4 0 18 Feb 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
Do We Really Need to Design New Byzantine-robust Aggregation Rules? Minghong Fang Seyedsina Nabavirazavi Zhuqing Liu Wei Sun S. Iyengar Haibo Yang AAML OOD 84 6 0 29 Jan 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Judith Sáinz-Pardo Díaz Á. García 36 0 0 28 Jan 2025
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML T. Dahan Kfir Y. Levy 70 0 0 17 Jan 2025
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Yongming Fan Rui Zhu Zihao Wang Chenghong Wang Haixu Tang Ye Dong Hyunghoon Cho Lucila Ohno-Machado 43 0 0 12 Jan 2025
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF Flint Xiaofeng Fan Cheston Tan Yew-Soon Ong Roger Wattenhofer Wei Tsang Ooi 85 1 0 20 Dec 2024
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 80 0 0 23 Nov 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 207 1 0 19 Nov 2024
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 64 1 0 01 Nov 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 33 2 0 26 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 60 6 0 17 Sep 2024
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities Zikai Zhang Suman Rath Jiaohao Xu Tingsong Xiao 48 1 0 16 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 39 0 0 10 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 44 5 0 02 Sep 2024
Sample-Independent Federated Learning Backdoor Attack in Speaker Recognition Weida Xu Yang Xu Sicong Zhang FedML AAML 41 0 0 25 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 44 0 0 09 Aug 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 52 0 0 23 Jul 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 42 1 0 21 Jul 2024
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent Shuche Wang Vincent Y. F. Tan FedML OOD 49 1 0 19 Jul 2024
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 53 0 0 19 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 63 1 0 13 Jul 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ning Wang Shanghao Shi Yang Xiao Yimin Chen Y. T. Hou W. Lou FedML AAML 39 1 0 12 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 54 8 0 11 Jul 2024
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks Zifan Zhang Minghong Fang Mingzhe Chen Gaolei Li Xi Lin Yuchen Liu AAML 45 3 0 02 Jul 2024
Jacobian Descent for Multi-Objective Optimization Pierre Quinton Valérian Rey 36 3 0 23 Jun 2024
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical William Boitier Antonella del Pozzo Álvaro García-Pérez Stephane Gazut Pierre Jobic ... Aurélien Mayoue Maxence Perion T. F. Rezende Deepika Singh Sara Tucci-Piergiovanni 25 1 0 05 Jun 2024
Asynchronous Byzantine Federated Learning Bart Cox Abele Malan Lydia Y. Chen Jérémie Decouchant 50 1 0 03 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 55 1 0 31 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 34 0 0 24 May 2024
Byzantine-Robust Gossip: Insights from a Dual Approach Renaud Gaucher Hadrien Hendrikx Aymeric Dieuleveut AAML 33 0 0 06 May 2024
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction Zifan Zhang Minghong Fang Jiayuan Huang Yuchen Liu AAML 51 8 0 22 Apr 2024
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning Naveen Kumar Krishna Mohan Aravind Machiry AAML 36 1 0 05 Apr 2024
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures Ruiqi Zheng Liang Qu Tong Chen Kai Zheng Yuhui Shi Hongzhi Yin 29 7 0 01 Apr 2024