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FedLab: A Flexible Federated Learning Framework

Journal of machine learning research (JMLR), 2021

24 July 2021

Papers citing "FedLab: A Flexible Federated Learning Framework"

46 / 46 papers shown

Title
Iterative Foundation Model Fine-Tuning on Multiple Rewards Pouya M. Ghari Simone Sciabola Ye Wang OffRL 15 0 0 31 Oct 2025
FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes Shouxu Lin Zimeng Pan Yuhang Yao Haeyoung Noh Pei Zhang Carlee Joe-Wong 16 0 0 12 Oct 2025
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 185 0 0 01 Jul 2025
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark Jianqing Zhang Xinghao Wu Yanbing Zhou Xiaoting Sun Qiqi Cai Yang Liu Yang Hua Zhenzhe Zheng Jian Cao Qiang Yang FedML 194 0 0 04 Jun 2025
FNBench: Benchmarking Robust Federated Learning against Noisy Labels Xuefeng Jiang Jia Li Nannan Wu Z. F. Wu Xujing Li Sheng Sun Gang Xu Longji Xu Qi Li Min Liu FedML 189 5 0 10 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning Jiacheng Wang Le Liang Hao Ye Chongtao Guo Shi Jin 122 0 0 06 May 2025
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2025 Pascal Chang Jingwei Tang Markus Gross Vinicius Azevedo DiffM 146 31 0 03 Apr 2025
A Thorough Assessment of the Non-IID Data Impact in Federated Learning Daniel Gutiérrez Mehrdad Hassanzadeh Aris Anagnostopoulos I. Chatzigiannakis A. Vitaletti 137 0 0 21 Mar 2025
Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction Thalita Mendonça Antico Larissa F. Rodrigues Moreira Rodrigo Moreira 186 30 0 10 Dec 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 265 9 0 19 Nov 2024
FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data Yukun Zhang Guanzhong Chen Zenglin Xu Jianyong Wang Dun Zeng Jiajian Li Jinghua Wang Yuan Qi Irwin King FedML 131 5 0 28 Oct 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning FrameworkIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2024 Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 257 19 0 17 Sep 2024
COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang Jian Xu Chen Chen Jingtao Li Lingjuan Lyu VLM FedML 166 9 0 23 Jul 2024
Jigsaw Game: Federated Clustering Jinxuan Xu Hong-You Chen Wei-Lun Chao Yuqian Zhang FedML 96 3 0 17 Jul 2024
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning Kai Yi Timur Kharisov Igor Sokolov Peter Richtárik FedML 184 2 0 03 Jun 2024
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience T. T. Huynh Trong Bang Nguyen Phi Le Nguyen Thanh Tam Nguyen Matthias Weidlich Quoc Viet Hung Nguyen Karl Aberer MU 135 14 0 28 May 2024
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning Yunbo Li Jiaping Gui Yue Wu FedML 112 0 0 25 May 2024
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization Hoang Bao Yijiang Pang Siqi Liang Chen Tang Paul Thompson Jiayu Zhou FedML 114 2 0 23 May 2024
Fed-Credit: Robust Federated Learning with Credibility Management Jiayan Chen Zhirong Qian Tianhui Meng Xitong Gao Tian-sheng Wang Weijia Jia FedML AAML 109 2 0 20 May 2024
FLEX: FLEXible Federated Learning Framework Francisco Herrera Daniel Jiménez-López Alberto Argente-Garrido Nuria Rodríguez Barroso Cristina Zuheros Ignacio Aguilera-Martos Beatriz Bello Mario García-Márquez M. V. Luzón 159 5 0 09 Apr 2024
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server Fei Li C. K. Loo W. S. Liew Xiaofeng Liu FedML 89 0 0 21 Mar 2024
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models Kai Yi Georg Meinhardt Laurent Condat Peter Richtárik FedML 203 6 0 14 Mar 2024
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness Mengyao Du Miao Zhang Yuwen Pu Kai Xu R. Beyah Quanjun Yin 124 1 0 25 Jan 2024
FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions Lin Lu FedML 89 0 0 13 Jan 2024
DCFL: Non-IID awareness Data Condensation aided Federated Learning Shaohan Sha YaFeng Sun FedML DD 129 0 0 21 Dec 2023
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization Xinjian Zhao Dun Zeng Zenglin Xu Ruocheng Guo Xiangyu Zhao FedML 145 7 0 17 Nov 2023
FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement LearningICCD (ICCD), 2023 Sofiane Bouaziz Hadjer Benmeziane Youcef Imine Leila Hamdad Smail Niar Hamza Ouarnoughi 110 9 0 12 Nov 2023
PAGE: Equilibrate Personalization and Generalization in Federated LearningThe Web Conference (WWW), 2023 Qian Chen Zilong Wang Jiaqi Hu Haonan Yan Jianying Zhou Xiao-La Lin FedML 121 5 0 13 Oct 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 137 1 0 04 Oct 2023
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated LearningIEEE International Joint Conference on Neural Network (IJCNN), 2023 Xavier Tan Han Yu FedML 405 4 0 04 Oct 2023
A Comprehensive Empirical Study of Bugs in Open-Source Federated Learning Frameworks Weijie Shao Yuyang Gao Fu Song Sen Chen Lingling Fan JingZhu He FedML 148 0 0 09 Aug 2023
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated LearningInternational Conference on Mobile Ad-hoc and Sensor Networks (MSN), 2023 Junjun Nie Danyang Xiao Lei Yang Weigang Wu FedML 116 0 0 17 Jul 2023
FedDCT: A Dynamic Cross-Tier Federated Learning Scheme in Wireless Communication NetworksWireless Algorithms, Systems, and Applications (WASA), 2023 Peng Liu Youquan Xian Chuanjia Yao Xiao-ying Gan Liang Zhou Jianyong Jiang Dongcheng Li FedML 28 0 0 10 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A SurveySIGKDD Explorations (SIGKDD Explor.), 2023 Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 175 15 0 10 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 273 5 0 05 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 361 10 0 20 Jun 2023
Federated Learning for Metaverse: A SurveyThe Web Conference (WWW), 2023 Yao Chen Shan Huang Wensheng Gan Gengsen Huang Yongdong Wu FedML 103 22 0 23 Mar 2023
Stochastic Clustered Federated LearningSocial Science Research Network (SSRN), 2023 Dun Zeng Xiangjing Hu Shiyu Liu Yue Yu Qifan Wang Zenglin Xu FedML 161 17 0 02 Mar 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 244 59 0 21 Feb 2023
Does Federated Learning Really Need Backpropagation?European Conference on Computer Vision (ECCV), 2023 Hao Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min Lin FedML 177 13 0 28 Jan 2023
Recent Advances on Federated Learning: A Systematic SurveyNeurocomputing (Neurocomputing), 2023 Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 188 133 0 03 Jan 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning MethodsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Zhuo Zhang Yuanhang Yang Yong Dai Zhuang Li Zenglin Xu FedML 228 105 0 20 Dec 2022
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous DataIEEE Transactions on Mobile Computing (IEEE TMC), 2022 Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 205 76 0 17 Nov 2022
Completely Heterogeneous Federated Learning Yu Xie Yuwen Yang Xun Cai Yue Ding Hongtao Lu FedML 104 11 0 28 Oct 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated LearningInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2022 Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 149 15 0 10 Jun 2022
Encoded Gradients Aggregation against Gradient Leakage in Federated Learning Dun Zeng Shiyu Liu Siqi Liang Zonghang Li Hongya Wang Irwin King Zenglin Xu FedML 113 0 0 26 May 2022