Non-IID Federated Learning

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14 papers in the last four weeks, up 75% on the four weeks before. 0.1% of all new papers.

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  1. BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring

    May 14, 2026Zixuan Shu, Tiancheng Cao, Hen-Wei HuangLong-Tail LearningCommunication-Efficient Distributed Training

    School of Electrical and Electronic Engineering, Nanyang Technological University, Republic of Singapore · Lee Kong Chian School of Medicine, Nanyang Technological University, Republic of Singapore

  2. Towards the Next Frontier of LLMs, Training on Private Data: A Cross-Domain Benchmark for Federated Fine-Tuning

    May 13, 2026Daniel M. Jimenez-Gutierrez, Enrique Zuazua, Georgios Kellaris +3LLM Fine-TuningNon-IID Federated Learning

  3. Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning

    May 12, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalHierarchical Federated LearningFederated Learning Aggregation

    Computer Science and Informatics · London South Bank University · London, UK +1

  4. FedOUI: OUI-Guided Client Weighting for Federated Aggregation

    May 12, 2026Alberto Fernández-Hernández, Jose I. Mestre, Cristian Pérez-Corral +3Federated Learning AggregationNon-IID Federated Learning

    Universitat Politècnica de València, Valencia, Spain · Universitat Jaume I, Castelló de la Plana, Spain · Openchip & Software Technologies S.L., Spain

  5. Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs

    May 11, 2026Li Shen, Xiaolei Hao, Qinglun Li +3Non-IID Federated LearningFederated Learning

    Shenzhen Campus of Sun Yat-Sen University · University of Science and Technology of China · Shantou University

  6. Concordia: Self-Improving Synthetic Tables for Federated LLMs

    May 11, 2026Jimin Huang, Duanyu Feng, Nuo Chen +8LLM Fine-TuningSynthetic Data Generation

    University of Manchester · The Fin AI · National University of Singapore +5

  7. A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions

    May 10, 2026Antonios Makris, Christos Dousis, Emmanouil Kritharakis +2Federated Learning AggregationNon-IID Federated Learning

    School of Electrical and Computer Engineering, National Technical University of Athens, Greece · Department of Informatics and Telematics, Harokopio University of Athens, Greece

  8. Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective

    May 10, 2026Akihito Taya, Yuuki Nishiyama, Kaoru SezakiAlternating Direction Method of MultipliersNon-IID Federated Learning

    Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo 153-8505, Japan · Center for Spatial Information Science, The University of Tokyo, Kashiwa-shi, Chiba 277-8568, Japan

  9. FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning

    May 9, 2026Bingnan Xiao, Yuan Gao, Bingcong Li +3Sharpness-Aware MinimizationNon-IID Federated Learning

    Fudan University · ETH Zurich · Edith Cowan University +1

  10. Evaluating Federated Learning approaches for mammography under breast density heterogeneity

    May 9, 2026Gonzalo Iñaki Quintana, Franco Martin Di Maria, Laurence VancambergFederated Learning AggregationMedical Image Analysis

    GE HealthCare, 283 Rue de la Mini`ere, 78530 Buc, France · ENS Paris-Saclay, 4 Av. des Sciences, 91190 Gif-sur-Yvette, France · IMT Atlantique, 655 Av. du Technopˆole, 29280 Plouzan´e, France +1

  11. When More Parameters Hurt: Foundation Model Priors Amplify Worst-Client Disparity Under Extreme Federated Heterogeneity

    May 9, 2026Kiran Naseer, Umar ShoaibNon-IID Federated LearningFederated Fine-Tuning

    University of Gujrat, Pakistan

  12. Enhancing Federated Quadruplet Learning: Stochastic Client Selection and Embedding Stability Analysis

    May 8, 2026Ozgu Goksu, Nicolas PugeaultRepresentation CollapseNon-IID Federated Learning

    School of Computing Science University of Glasgow

  13. Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation

    May 8, 2026Hong Chen, Pengcheng Wu, Yuanguo Lin +4Test-Time AdaptationNon-IID Federated Learning

    Nanyang Technological University · Jimei University · Xiamen University

  14. VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems

    May 7, 2026Mohamed Lakas, Mohamed Amine FerragIoT Intrusion DetectionClient Selection in Federated Learning

    College of Information Technology, United Arab Emirates University, UAE

  15. Personalized Federated Learning for Gradient Alignment

    May 4, 2026Dongwon Kim, Gyuejeong LeeFederated Learning AggregationNon-IID Federated Learning

    SAKAK Inc., Korea · Div. of Artificial Intelligence and Data Science, Korea Cyber University, Korea

  16. Federated Learning with Hypergradient-based Online Update of Aggregation Weights

    May 1, 2026Ayano Nakai-Kasai, Tadashi WadayamaFederated Learning AggregationNon-IID Federated Learning

    Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi 466-8555, Japan

  17. FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning

    Apr 30, 2026Mahad Ali, Laura J. BrattainNon-IID Federated LearningClustered Federated Learning

    University of Central Florida, Orlando FL 32816, USA

  18. Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data

    Apr 28, 2026Emre Ardıç, Yakup GençNon-IID Federated LearningTraining Data Selection

    Gebze Technical University, Department of Computer Engineering, Gebze, Kocaeli 41400, Turkey

  19. Subspace Optimization for Efficient Federated Learning under Heterogeneous Data

    Apr 28, 2026Shuchen Zhu, Zhengyang Huang, Yuqi Xu +1Non-IID Federated LearningFederated Learning

    Peking University · Beihang University

  20. Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy

    Apr 25, 2026Emre Ardıç, Yakup GençNon-IID Federated LearningDifferentially Private Federated Learning

    Department of Computer Engineering, Gebze Technical University, Gebze, Kocaeli 41400, Türkiye

  21. Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation

    Apr 22, 2026Jie Xu, Haaris Mehmood, Rogier Van Dalen +2Federated Learning AggregationNon-IID Federated Learning

    Samsung R&D Institute UK (SRUK) · Samsung AI Centre Cambridge

  22. FedSEA: Achieving Benefit of Parallelization in Federated Online Learning

    Apr 21, 2026Harekrushna Sahu, Pratik Jawanpuria, Pranay SharmaOnline Convex OptimizationNon-IID Federated Learning

    CMInDS, IIT Bombay, India

  23. Federated Mixture-of-Experts Alignment on Mobile Edge Networks under Data Heterogeneity

    Mar 22, 2026Zihan Fang, Qianru Wang, Haonan An +4Mixture-of-Experts Language ModelsFederated Learning Aggregation

    Hong Kong JC STEM Lab of Smart City and Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong SAR, China · School of Computer Science and Technology, Xidian University, Xi’an, China · Department of Electrical and Computer Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong, China +1

  24. pFedNavi: Structure-Aware Personalized Federated Vision-Language Navigation for Embodied AI

    Feb 16, 2026Qingqian Yang, Hao Wang, Sai Qian Zhang +6Federated Learning AggregationNon-IID Federated Learning

    Stevens Institute of Technology · Hoboken, NJ, USA · New York University +9

  25. An Adaptive Differentially Private Federated Learning Framework

    Feb 6, 2026Jin Wang, Hui Ma, Yajun Zhang +4Non-IID Federated LearningDifferentially Private Federated Learning

    Xinjiang Key Laboratory of Intelligent Computing and Smart Applications, School of Software, Xinjiang University, Urumqi 830017, China · College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, China · Jilin University, Changchun 130012, China

  26. Mechanistic Evidence for Preserved-but-Misaligned Representations in Non-IID FedAvg

    Dec 28, 2025Muhammad Haseeb, Salaar Masood, Muhammad Abdullah Sohail +2Federated Learning AggregationNon-IID Federated Learning

    Department of Computer Science, Lahore University of Management Sciences, Lahore, Pakistan.

  27. How (Mis)calibrated is your Federated CLIP and what to do about it?

    Dec 3, 2025Mainak Singha, Masih Aminbeidokhti, Paolo Casari +3Vision-Language ModelsVLM Adaptation

    University of Trento, Italy · ´Ecole de technologie sup´erieure, QC, Canada · AMIAD, Pˆole Recherche, Palaiseau, France +2

  28. FDRMFL: Multimodal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning

    Nov 30, 2025Haozhe WuMultimodal Federated LearningNon-IID Federated Learning

    School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China

  29. FedIA: Importance-Aware Aggregation for Domain-Robust Federated Graph Learning

    Sep 17, 2025Zhanting Zhou, Zeyu Ma, Ziqiang Zheng +1Federated Learning AggregationDomain Generalization

    University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China

  30. An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data

    Sep 5, 2025Jiaojiao Zhang, Yizhao Fan, Yuqi Xu +1Communication-Efficient Distributed TrainingNon-IID Federated Learning

    Intelligent Computing Research Center, Great Bay University, Dongguan, China · Center for Machine Learning Research, Peking University, Beijing, China