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Robust Aggregation for Federated Learning

IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019

31 December 2019

Papers citing "Robust Aggregation for Federated Learning"

50 / 303 papers shown

Title
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 349 5 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 153 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 237 11 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 169 2 0 23 Jun 2023
Fedstellar: A Platform for Decentralized Federated LearningExpert systems with applications (ESWA), 2023 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 228 58 0 16 Jun 2023
Provably Personalized and Robust Federated Learning Mariel A. Werner Lie He Sai Li Martin Jaggi Sai Praneeth Karimireddy FedML 149 15 0 14 Jun 2023
Temporal Gradient Inversion Attacks with Robust OptimizationIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Bowen Li Jie Li Hanlin Gu Ruoxin Chen Jie Li Chentao Wu Na Ruan Xueming Si Lixin Fan AAML 132 4 0 13 Jun 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Xuhong Zhang Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 145 14 0 08 Jun 2023
Covert Communication Based on the Poisoning Attack in Federated Learning Junchuan Liang Rong Wang FedML 143 1 0 02 Jun 2023
Byzantine-Robust Clustered Federated Learning Zhixu Tao Kun Yang Sanjeev R. Kulkarni OOD FedML 91 2 0 01 Jun 2023
Federated Learning in the Presence of Adversarial Client Unavailability Lili Su Ming Xiang Jiaming Xu Pengkun Yang FedML AAML 127 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 200 12 0 29 May 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 239 16 0 19 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative MetricsNeural Information Processing Systems (NeurIPS), 2023 Yivan Zhang Masashi Sugiyama 247 2 0 19 May 2023
FedGT: Identification of Malicious Clients in Federated Learning with Secure AggregationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 M. Xhemrishi Johan Ostman Antonia Wachter-Zeh Alexandre Graell i Amat FedML 234 21 0 09 May 2023
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients InspectionIEEE International Joint Conference on Neural Network (IJCNN), 2023 Thuy-Dung Nguyen Anh Duy Nguyen Kok-Seng Wong H. Pham T. Nguyen Phi Le Nguyen Truong Thao Nguyen FedML AAML 146 7 0 29 Apr 2023
Attacks on Robust Distributed Learning Schemes via Sensitivity Curve MaximizationInternational Conference on Digital Signal Processing (ICDSP), 2023 Christian A. Schroth Stefan Vlaski A. Zoubir FedML 171 2 0 27 Apr 2023
Practical Differentially Private and Byzantine-resilient Federated Learning Zihang Xiang Tianhao Wang Wanyu Lin Di Wang FedML 166 32 0 15 Apr 2023
Byzantine-Resilient Federated Learning at EdgeIEEE transactions on computers (IEEE Trans. Comput.), 2023 Youming Tao Sijia Cui Wenlu Xu Haofei Yin Dongxiao Yu W. Liang Xiuzhen Cheng FedML 116 25 0 18 Mar 2023
Multi-metrics adaptively identifies backdoors in Federated learningIEEE International Conference on Computer Vision (ICCV), 2023 Siquan Huang Yijiang Li Chong Chen Leyu Shi Ying Gao AAML 203 38 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 198 6 0 09 Mar 2023
Byzantine-Robust Loopless Stochastic Variance-Reduced Gradient Nikita Fedin Eduard A. Gorbunov 126 5 0 08 Mar 2023
Can Decentralized Learning be more robust than Federated Learning? Mathilde Raynal Dario Pasquini Carmela Troncoso OOD FedML 234 5 0 07 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research DirectionsEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023 Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 154 86 0 03 Mar 2023
Mitigating Backdoors in Federated Learning with FLD Yi-Wen Lin Pengyuan Zhou Zhiqian Wu Yong Liao FedML 93 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 159 16 0 21 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and PrivacyThe Web Conference (WWW), 2023 Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 308 61 0 21 Feb 2023
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated LearningIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023 Shenghui Li Edith C.H. Ngai Thiemo Voigt FedML AAML 139 81 0 14 Feb 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient SplittingInternational Conference on Machine Learning (ICML), 2023 Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 173 18 0 13 Feb 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under HeterogeneityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Youssef Allouah Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 251 72 0 03 Feb 2023
BayBFed: Bayesian Backdoor Defense for Federated LearningIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Kavita Kumari Phillip Rieger Hossein Fereidooni Murtuza Jadliwala A. Sadeghi AAML FedML 187 41 0 23 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 231 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 160 2 0 28 Dec 2022
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine ColludersIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 260 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 161 9 0 10 Nov 2022
Improved Learning-augmented Algorithms for k-means and k-medians ClusteringInternational Conference on Learning Representations (ICLR), 2022 Thy Nguyen Anamay Chaturvedi Huy Le Nguyen 189 12 0 31 Oct 2022
Secure Distributed Optimization Under Gradient AttacksIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Shuhua Yu S. Kar 222 19 0 28 Oct 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated LearningInternational Conference on Learning Representations (ICLR), 2022 Kaiyuan Zhang Guanhong Tao Qiuling Xu Shuyang Cheng Shengwei An ... Shiwei Feng Guangyu Shen Pin-Yu Chen Shiqing Ma Xiangyu Zhang FedML 183 66 0 23 Oct 2022
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Enrique Tomás Martínez Beltrán Daniel Demeter Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller AAML FedML 215 9 0 20 Oct 2022
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis Ruinan Jin Xiaoxiao Li FedML AAML MedIm 252 31 0 19 Oct 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based AggregationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Zhiyuan Zhang Qi Su Xu Sun FedML 119 18 0 13 Oct 2022
Few-shot Backdoor Attacks via Neural Tangent KernelsInternational Conference on Learning Representations (ICLR), 2022 J. Hayase Sewoong Oh 169 22 0 12 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 227 77 0 10 Oct 2022
Invariant Aggregator for Defending against Federated Backdoor AttacksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Xiaoya Wang Dimitrios Dimitriadis Oluwasanmi Koyejo Shruti Tople FedML 188 2 0 04 Oct 2022
Shielding Federated Learning: Mitigating Byzantine Attacks with Less ConstraintsInternational Conference on Mobile Ad-hoc and Sensor Networks (MSN), 2022 Minghui Li Wei Wan Jianrong Lu Shengshan Hu Junyu Shi L. Zhang Man Zhou Yifeng Zheng FedML 218 7 0 04 Oct 2022
A Secure Federated Learning Framework for Residential Short Term Load ForecastingIEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2022 Muhammad Akbar Husnoo A. Anwar N. Hosseinzadeh S. Islam A. N. Mahmood R. Doss 198 46 0 29 Sep 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning AttacksConference on Computer and Communications Security (CCS), 2022 Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 329 17 0 08 Sep 2022
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs Chaouki Ben Issaid Anis Elgabli M. Bennis FedML OOD 183 5 0 29 Aug 2022
A simplified convergence theory for Byzantine resilient stochastic gradient descentEURO Journal on Computational Optimization (EJCO), 2022 Lindon Roberts E. Smyth 150 5 0 25 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 230 21 0 21 Aug 2022