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. Fed-BRDECS: Privacy-Preserving and Heterogeneity-Aware Federated Deep Embedded Clustering

    Oct 5, 2026Haemin Park, Diego Klabjan, Martin W. Braun +2ClusteringDeep Clustering

    Northwestern University · Intel Corporation

  2. FedSAP: Federated Learning with Structured Adaptive Partitioning for Multi-Domain Heterogeneous Edge Devices

    Oct 1, 2026Wentao Yue, Tianyou Lai, Hongji Li +2Non-IID Federated LearningStructured Pruning

  3. FedMAD: Modulation-Aware Directional Aggregation for Federated Learning in Remote Sensing Image Classification

    Sep 30, 2026Barış Büyüktaş, Begüm DemirRemote Sensing Image UnderstandingFederated Learning Aggregation

    Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin, 10587 Berlin, Germany · BIFOLD - Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany

  4. Client and Training Data Selection for Computationally Efficient Synchronized Federated Learning

    Sep 30, 2026Muzaffer Citir, Hiroki Nishikawa, Sangyoung ParkClient Selection in Federated LearningNon-IID Federated Learning

    Smart Mobility Systems, Technical University of Berlin, Germany · Graduate School of Information Science and Technology, The University of Osaka, Japan

  5. Agentic Federated Learning: Rule-Based Client and Server Agents for Adaptive Training

    Sep 28, 2026Deepthy K. Bhaskar, VP Binu, B MinimolFederated Learning AggregationClient Selection in Federated Learning

    Department of Computer Engineering, Model Engineering College, APJ Abdul Kalam Technological University, Thiruvananthapuram 695016, Kerala, India. · Department of Biomedical Engineering, Model Engineering College, APJ Abdul Kalam Technological University, Thiruvananthapuram 695016, Kerala, India.

  6. On the Gradient Heterogeneity Dynamics of Adversarially Robust Federated Regression

    Sep 22, 2026Leonardo F. Toso, James Anderson, Nirupam Gupta +1Byzantine-Robust Federated LearningNon-IID Federated Learning

    Columbia University, USA · University of Copenhagen, Denmark · Sorbonne Université and Université Paris Cité, CNRS, LPSM, France

  7. Distributionally Robust Federated Learning with Multi-Source Data

    Sep 17, 2026Yingzhu Liu, Zhongkui Li, Pengcheng You +1Distributionally Robust OptimizationNon-IID Federated Learning

    Department of Control Science and Systems Engineering, Peking University, Beijing, China. · Engineering and Technology Institute Groningen and the Jan C. Willems Center for Systems and Control, University of Groningen, The Netherlands.

  8. FedFIbOS: Fisher Importance based Optimal Submodelling for Heterogeneous Federated Learning

    Sep 17, 2026Yasmeen Afzal, Jeremiah D. Deng, Haibo ZhangNon-IID Federated LearningFederated Learning

    School of Computing, University of Otago, New Zealand · School of Computer Science and Engineering, University of New South Wales, Australia

  9. Federated Soft Clustering via Generalized Total Variation Minimization

    Sep 16, 2026Shamsiiat Abdurakhmanova, Alexander JungGaussian Mixture ModelsNon-IID Federated Learning

    Department of Computer Science, Aalto University, Espoo, Finland

  10. Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation

    Sep 15, 2026Polycarpo Souza Neto, José Mairton Barros da Silva Júnior, Charles Casimiro CavalcanteFederated Knowledge DistillationNon-IID Federated Learning

    Universidade Federal do Cear´a, Fortaleza, CE, Brazil · Uppsala University, Uppsala, Sweden

  11. Decentralized Gossip Learning and Federated Averaging for Histopathology Image Classification

    Sep 15, 2026Yusuf Ozturk, Bengisu Atli, Enes Goktekin +2Federated Learning AggregationNon-IID Federated Learning

    Antalya Bilim University, Electrical and Electronics Engineering Dep. Antalya, Türkiye · Antalya Bilim University, Computer Engineering Dep. Antalya, Türkiye · Ankara University, Graduate School of Natural and Applied Sciences, Ankara, Türkiye +1

  12. Adaptive Bayesian Partner Selection for Federated Clinical Centers

    Sep 15, 2026Navid Seidi, Satyaki Roy, Sajal K. DasHealthcareCommunication-Efficient Distributed Training

    Department of Computer Science Missouri University of Science and Technology Rolla, MO, USA · Department of Mathematical Sciences University of Alabama in Huntsville Huntsville, AL, USA

  13. FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning

    Sep 14, 2026Changkun Lin, Junxiao WangClass-Imbalanced LearningNon-IID Federated Learning

    Guangzhou University, China

  14. OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis

    Sep 9, 2026Ayush Debnath, Ruelia Saha, Sudip MisraMultimodal Federated LearningMedical Diagnosis

    Indian Institute of Technology Kharagpur, India · KTH Royal Institute of Technology, Sweden · SRM University-AP, India +1

  15. FedRAW: Preserving Rare-Label Influence in Asynchronous Federated Learning

    Sep 7, 2026Prashant Bajpai, Divya Saxena, Philippe Lalanda +1Federated Learning AggregationAsynchronous Federated Learning

    School of Artificial Intelligence and Data Science, Indian Institute of Technology Jodhpur, India · Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur, India · Laboratoire d’Informatique de Grenoble (LIG), University of Grenoble Alpes, Grenoble, France

  16. Similarity-Aware Personalized Federated Learning in Heterogeneous Environments

    Sep 2, 2026Arun Kumar A, Sunil Gupta, Dang Ngyuen +2Federated LearningNon-IID Federated Learning

    Applied Artificial Intelligence Initiative (A2I2) Deakin University, Australia

  17. D-FROST: Decentralized Federated pRompt-tuning via Optimal tranSporT for Non-IID and Imbalanced Data

    Sep 1, 2026Quan Minh Nguyen, Hoang M. Ngo, Trong Nghia Hoang +1Non-IID Federated LearningDecentralized Learning

    University of Florida, FL, USA · Washington State University, WA, USA

  18. Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity

    Sep 1, 2026Lei Wang, Jieming Bian, Letian Zhang +1Non-IID Federated LearningLow-Rank Adaptation

    University of Florida · Gainesville, FL 32611 · Middle Tennessee State University +1

  19. CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning

    Aug 31, 2026Baraa Bilbeisi, Mengchen Fan, Baocheng Geng +1Federated Learning AggregationFederated Knowledge Distillation

    Dept. of Electrical & Computer Engineering · Dept. of Computer Science

  20. Federated Compositional Muon Optimizer for Matrix-Wise Models

    Aug 13, 2026Wang Yan, Feihu HuangMuon OptimizerNon-IID Federated Learning

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China · MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing, China

  21. FedOrbit: Adaptive Personalized Federated Learning for Non-IID LEO Satellite Constellations

    Aug 10, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalHierarchical Federated LearningFederated Learning Aggregation

    School of Engineering London South Bank University, London, UK

  22. FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning

    Aug 10, 2026Radwan Selo, Majid Kundroo, Taehong KimClass-Imbalanced LearningNon-IID Federated Learning

    School of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea

  23. FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning

    Aug 10, 2026Van Truong Vo, Khoa Nguyen, Taehong KimNon-IID Federated LearningFederated Learning

    School of Information and Communication Engineering, Chungbuk National University, Cheongju, South Korea

  24. Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning

    Aug 7, 2026Alireza MoayedikiaNon-IID Federated LearningFederated Learning

    Department of Business Technology and Entrepreneurship, Swinburne University of Technology, Melbourne, Australia

  25. FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks

    Aug 7, 2026Majid Kundroo, Tinku Singh, Taehong KimFederated Learning AggregationNon-IID Federated Learning

    aSchool of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea · bSchool of Computer Science Engineering and Technology, Bennett University, Greater Noida, 201310, India

  26. FedVAR: Prototype-Aligned Federated Framework for Video Anomaly Recognition

    Aug 7, 2026Ghani Haider, Majid Kundroo, Boyun Eom +3Prototype-Based LearningNon-IID Federated Learning

    School of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea · Electronics and Telecommunications Research Institute (ETRI), Daejeon, 34129, Republic of Korea · Institute of Artificial Intelligence (IAI), University of Central Florida, Orlando, 32816, USA

  27. On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing

    Aug 5, 2026Simon Lösche, Barış Büyüktaş, Mathis Adler +3Remote Sensing Image UnderstandingPrompt Learning

    BIFOLD - Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany · Technische Universität Berlin, 10623 Berlin, Germany · Orion Lab, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15772 Athens, Greece +2

  28. Attention, Anomalies! Handling Attention Layers in Unsupervised Federated Outlier Detection

    Aug 5, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Memory-Augmented Neural NetworksFederated Learning Aggregation

    Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia · Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Italy

  29. FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks

    Aug 4, 2026An Khanh Bui, Cong Thanh Nguyen, Hoang-Anh Pham +2Network Intrusion DetectionInternet of Things

    UTS-HCMUT JTIRC, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City 700000, Vietnam. · Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City 700000, Vietnam. · School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia.

  30. Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity

    Aug 4, 2026Chinmoy Mitra, Md. Mehedi Hasan Nipu, Mohammad Sakib Mahmood +2Federated Learning AggregationRUL Estimation

    Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Kazla, Rajshahi, 6204, Bangladesh · Department of Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh. · Department of Computer Science, Missouri State University, Springfield, MO, 65809, USA. +2