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. Conflict-Aware Federated Fine-Tuning of Large Language Models with Mixture-of-Experts

    Jun 14, 2026Yijun Lu, Zihan Fang, Pengpeng Qiao +6Federated Learning AggregationLLM Fine-Tuning

    Waseda University, Tokyo, Japan · City University of Hong Kong, China · Institute of Science Tokyo, Tokyo, Japan +4

  2. Guiding Federated Graph Recommendation with LLM-encoded knowledge

    Jun 13, 2026Thi Minh Chau Nguyen, Hien Trang Nguyen, Duc Anh Nguyen +3Federated Learning AggregationGraph Representation Learning

  3. HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning

    Jun 13, 2026Thinh T. H. Nguyen, Le-Tuan Nguyen, Minh-Duong Nguyen +4Federated Continual LearningNon-IID Federated Learning

    VinUniversity, Hanoi, Vietnam

  4. Deep Learning in Seismic Interpretation: Federated Advances in Salt Dome Segmentation

    Jun 12, 2026Muhammad Zain Mehdi, Muhammad Zaid, Owais AleemImage SegmentationU-Net

    Computer Science Department FAST-NUCES Lahore, Pakistan

  5. FedSPC: Shared Parameter Correction for Personalized Federated Learning

    Jun 11, 2026Kannanthodath Induchoodan Ajay Menon, Christian Prehofer, Yunfei Xu +1Non-IID Federated LearningFederated Learning

    DENSO AUTOMOTIVE Deutschland GmbH, Germany · Technical University of Munich, Germany · DENSO International America, Inc., United States

  6. From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning

    Jun 9, 2026Huong Nguyen, Mickaël Bettinelli, Amirhossein Ghaffari +4Non-IID Federated LearningFederated Learning

    Future Computing Group, University of Oulu, Finland · LISTIC, University Savoie Mont Blanc, France · AaltoSEA Group, Aalto University, Finland

  7. Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning

    Jun 8, 2026Haengbok Chung, Jae Sung LeeClass-Imbalanced LearningFederated Learning Aggregation

    Interdisciplinary Program in Artificial Intelligence, Seoul National University, Republic of Korea · Department of Nuclear Medicine, Seoul National University College of Medicine, Republic of Korea · Brightonix Imaging Inc. Seoul, Republic of Korea

  8. Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation

    Jun 7, 2026Xingyue Zhao, Wenke Huang, Linghao Zhuang +7Vision Foundation Model AdaptationNon-IID Federated Learning

    Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College · The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences · College of Computing and Data Science, Nanyang Technological University, Singapore +4

  9. AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments

    Jun 6, 2026Yan Wang, Ziyi Gao, Rui WangLLM Fine-TuningAsynchronous Federated Learning

    Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China

  10. Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models

    Jun 4, 2026Sunny Gupta, Shambhavi Shanker, Amit SethiFederated Learning AggregationNon-IID Federated Learning

    Indian Institute of Technology, Bombay

  11. TITAN-FedAnil+: Trust-Based Adaptive Blockchain Federated Learning for Resource-Constrained Intelligent Enterprises

    Jun 3, 2026Muhammad Hadi, Muhammad Jahangir, Talha Shafique +1Byzantine-Robust Federated LearningNon-IID Federated Learning

    School of Electrical Engineering and Computer Science (SEECS) National University of Sciences and Technology (NUST) Islamabad, Pakistan

  12. FlashbackCL: Mitigating Temporal Forgetting in Federated Learning

    Jun 2, 2026Mubarak A. Ojewale, Adriana E. Chis, Jorge M. Cortes-Mendoza +2Distribution ShiftFederated Continual Learning

    Cloud Competency Centre, National College of Ireland, Dublin, Ireland

  13. FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data

    Jun 2, 2026Pengyu Chen, Shaowei Li, Kai Wang +4Federated Learning AggregationFederated RL

    School of Computer Science and Technology, Shandong University, Qingdao China · School of Mathematical Science, Peking University, China · School of Computer Science and Artificial Intelligence, Shanghai University of Finance and Economics, Shanghai, China +1

  14. Hierarchical Federated Learning with Dynamic Clustering and Adaptive Regularization for Robust Infrastructure Inspection

    Jun 2, 2026Yuhu Feng, Keisuke Maeda, Takahiro Ogawa +1Hierarchical Federated LearningNon-IID Federated Learning

  15. Closing the Alignment-Maturity Gap in Federated Prototype Learning

    Jun 1, 2026Mario Casado-Diez, Alejandro Dopico-Castro, Verónica Bolón-Canedo +1Non-IID Federated LearningFederated Learning

    CITIC, Universidade da Coruña, A Coruña, Spain

  16. FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment

    Jun 1, 2026Nazmus Shakib Shadin, Aaron Cummings, Xinyue Zhang +1Non-IID Federated LearningMulti-Teacher Knowledge Distillation

    Department of Computer Science, Kennesaw State University, Marietta, GA, 30060 USA

  17. HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning

    May 30, 2026Amir Hossein Shahdadian, Ahmed M. Abdelmoniem, Mahdi Taheri +2Non-IID Federated LearningFederated Learning

    University of Naples "Federico II", Italy · Queen Mary University of London, United Kingdom · Brandenburg University of Technology Cottbus-Senftenberg, Germany +2

  18. Q-ANCHOR: Federated Quantum Learning with ZNE-guided Correction

    May 28, 2026Hoang M. Ngo, Quan Nguyen, Wanli Xing +1Federated Learning AggregationQuantum Machine Learning

    Department of Computer & Information Science & Engineering University of Florida · Frost Institute for Data Science and Computing University of Miami

  19. On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach

    May 24, 2026Jiahui Bai, Hai Dong, A. K. QinMulti-Agent CoordinationFederated Learning Aggregation

    School of Computer Technologies, RMIT University Melbourne, VIC, Australia · School of Science, Computing and Engineering Technologies, Swinburne University of Technology Hawthorn, VIC, Australia

  20. Hardware-Aware Federated Learning for Speech Emotion Recognition

    May 23, 2026Beyazit Bestami Yuksel, Emrah DikbiyikCommunication-Efficient Distributed TrainingClient Selection in Federated Learning

    Computer Engineering Istanbul Technical University Istanbul, Turkey · Department of Computer Technologies Istanbul University-Cerrahpaşa Istanbul, Turkey

  21. FIRMA: FIbonacci Ring Model Aggregation for Privacy-preserving Federated Learning

    May 21, 2026Rachid HedjamFederated Learning AggregationNon-IID Federated Learning

    Department of Computer Science Bishop’s University Sherbrooke, Qc, Canada

  22. Detecting Atypical Clients in Federated Learning via Representation-Level Divergence

    May 21, 2026Cristian Pérez-Corral, Jose I. Mestre, Alberto Fernández-Hernández +2Federated Learning AggregationNon-IID Federated Learning

    Universitat Politècnica de València Valencia, Spain · Universitat Jaume I Castelló de la Plana, Spain

  23. Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction

    May 20, 2026Fan Zhang, Simon Deltadahl, Majid Lotfian Delouee +10Federated Learning AggregationHealthcare

    Dept. of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge, UK · Translational AI Laboratory, Dept. of Laboratory Medicine Amsterdam UMC Amsterdam, The Netherlands · Precision Health University Research Institute Queen Mary Univ. of London London, UK +3

  24. Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search

    May 20, 2026Chaimaa Medjadji, Sylvain Kubler, Yves Le Traon +3Communication-Efficient Distributed TrainingFederated Knowledge Distillation

    Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg · Blekinge Institute of Technology, Sweden · ADSLabs, Umea University, Sweden

  25. FedCoE: Bridging Generalization and Personalization via Federated Coordinated Dual-level MoEs

    May 20, 2026Penglin Dai, Fulian Li, Xincao Xu +3Federated Learning AggregationNon-IID Federated Learning

    School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, China · Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China · School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China

  26. Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning

    May 20, 2026Adda Akram Bendoukha, Heber Hwang Arcolezi, Nesrine Kaaniche +1Client Selection in Federated LearningNon-IID Federated Learning

    Samovar, T´el´ecom SudParis, Institut Polytechnique de Paris, France · ´ETS Montr´eal · CEA-LIST

  27. Distributed Direct Preference Optimization

    May 20, 2026Zhanhong JiangDirect Preference OptimizationNon-IID Federated Learning

    Translational AI Center, Iowa State University, Ames, USA.

  28. FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data

    May 18, 2026Nuredin Ali Abdelkadir, Anjali Ratnam, Zeerak Talat +1Depression DetectionMental Health

    University of Minnesota · University of Edinburgh

  29. Q-LocalAdam: Memory-Efficient Client-Side Adaptive Optimization for Edge Federated Learning

    May 17, 2026Vedant Waykole, Haroon R. LoneNon-IID Federated LearningEdge ML

    IISER Bhopal · India

  30. BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation

    May 17, 2026Yuhan Xie, Chen Lyu, Jingrong HuangFederated Learning AggregationSplit Federated Learning

    Shanghai University of Finance and Economics, China · MoE Key Laboratory of Interdisciplinary Research of Computation and Economics, China.