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. Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning

    Aug 3, 2026Yuan-Heng Tsai, Li-Hsing Yen, Yan-Wei ChenAlgorithmic FairnessClient Selection in Federated Learning

    Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.

  2. CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning

    Aug 3, 2026Zijian Jiang, Chaoli Sun, Handing Wang +1Non-IID Federated LearningRepresentation Alignment

    School of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey GU2 7XH, U.K. · School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China · School of Artificial Intelligence, Xidian University, Xi’an 710071, China +1

  3. Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization

    Aug 2, 2026Furkan Bagci, Busra Tegin, Mohammad Kazemi +1Federated Learning AggregationNon-IID Federated Learning

    Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607 USA · IETR-UMR CNRS 6164, Centrale-Supélec Rennes Campus, Cesson-Sévigné 35576, France · Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, U.K. +1

  4. FeDepth: Federated Learning for Depth Estimation under Robot Heterogeneity

    Aug 2, 2026Ganghyeon Lee, Inha Lee, Junhee Lee +3Depth EstimationNon-IID Federated Learning

    Ulsan National Institute of Science and Technology (UNIST), Republic of Korea

  5. Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation

    Aug 1, 2026Muhammad Irfan Khan, Eero Lehtonen, Joni Obradovic +4Federated Learning AggregationNon-IID Federated Learning

    Turku University of Applied Sciences, Turku 20520, Finland

  6. PIcsC: Partitioning-Induced Covariate Shift Correction

    Jul 28, 2026Behraj Khan, Behroz Mirza, Syed Ahmad Chan Bukhari +1Non-IID Federated LearningCovariate Shift

    School of Mathematics and Computer Science, Institute of Business Administration Karachi, Pakistan. · Department of Computer Science, Habib University, Karachi, Pakistan. · Division of Computer Science, Mathematics and Science, St. John’s University, USA.

  7. FedTaste: Topology-Aware Structural Transfer for Multimodal Federated Learning with Missing Modalities

    Jul 25, 2026Haochen Liang, Jie Zhang, Hideya OchiaiMultimodal Federated LearningMissing-Modality Learning

    The University of Tokyo Tokyo, Japan · Great Bay University Dongguan, China

  8. Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers

    Jul 23, 2026Hariharan Ramesh, Jyotikrishna DassFederated Learning AggregationCommunication-Efficient Distributed Training

    Department of Electrical and Computer Engineering University of Arizona, Tucson, AZ 85719

  9. Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning

    Jul 23, 2026Shiva Raj Pokhrel, Dipsan Bhattarai, Anwar WalidFederated Learning AggregationNuclear Norm Minimization

    School of IT, Deakin University, Australia · Columbia University, USA

  10. SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework

    Jul 21, 2026Akarsh K Nair, Muhammad Arifur Rahman, Nicholas Shopland +8Synthetic Data PretrainingClinical Outcome Prediction

    Department of Computer Science, Nottingham Trent University, Nottingham, United Kingdom · Division of Epidemiology and Public Health, University of Nottingham, Nottingham, United Kingdom · Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia +1

  11. FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning

    Jul 9, 2026Lingyu Qiu, Daniela Annunziata, Stefano Izzo +2Federated Learning AggregationNon-IID Federated Learning

    Department of Mathematics and Applications “R. Caccioppoli”, University of Naples Federico II, Italy

  12. Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning

    Jul 8, 2026Maximilian Andreas Hoefler, Karsten Mueller, Wojciech SamekFederated Learning AggregationSynthetic Data Generation

    Fraunhofer Heinrich Hertz Institute · BIFOLD Technical University Berlin

  13. WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning

    Jul 7, 2026Sangwoo Lee, Sunghwan Park, Jaewoo LeeSynthetic Data AugmentationData Augmentation

    Chung-Ang University, Seoul, South Korea

  14. F-ACVAE: A Federated Adaptive Conditional Variational Auto-Encoder for Privacy-Preserving Intrusion Detection in IoT Networks

    Jul 6, 2026Mohammad Ansarimehr, Somayeh Changiz, Ehsan Baghishani +1Network Intrusion DetectionInternet of Things

    Department of Computer Engineering, Ne. C., Islamic Azad University, Neyshabur, Iran

  15. SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity

    Jul 5, 2026Liyang Yuan, Yibo Yang, Dandan Guo +2Non-IID Federated LearningFederated Learning

    School of Artificial Intelligence, Jilin University, Changchun 130012, China · King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia · School of Intelligence Science and Technology, Peking University, China

  16. FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering

    Jul 5, 2026Liyang Yuan, Yibo Yang, Dandan GuoSharpness-Aware MinimizationNon-IID Federated Learning

    School of Artificial Intelligence, Jilin University, Changchun, China · King Abdullah University of Science and Technology, Saudi Arabia

  17. FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging

    Jul 5, 2026Harsh Kumar, Tarun Kumar Garg, Vaanathi SundaresanFederated Learning AggregationNon-IID Federated Learning

    Department of Computational and Data Sciences, Indian Institute of Science Bengaluru, Karnataka 560012, India · Department of IISc Mathematics Initiative, Indian Institute of Science Bengaluru, Karnataka 560012, India

  18. FedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy

    Jul 3, 2026Andrea De Luna, Susanna Peretti, Chiara Contoli +1Federated Learning AggregationHuman Activity Recognition

    DiSPeA University of Urbino

  19. Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data

    Jul 2, 2026Xuanyu Chen, Nan Yang, Shuai Wang +1Self-Supervised LearningNon-IID Federated Learning

    School of Electrical and Computer Engineering, The University of Sydney · 2Northwestern Polytechnical University

  20. QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition

    Jul 2, 2026Quoc Bao Phan, Tuy Tan NguyenMultimodal Federated LearningHuman Activity Recognition

    Department of Electrical and Computer Engineering FAMU-FSU College of Engineering, Florida State University Tallahassee, FL 32310, USA

  21. Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning

    Jun 30, 2026Krishna Harsha Kovelakuntla Huthasana, Alireza Olama, Andreas LundellSparse RecoveryNon-IID Federated Learning

    Department of Engineering and Information Technology, Åbo Akademi University

  22. TallyTrain: Communication-Efficient Federated Distillation

    Jun 30, 2026Radhakrishna Achanta, Will ReedFederated Learning AggregationCommunication-Efficient Distributed Training

    Cisco Systems Inc.

  23. Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification

    Jun 30, 2026Aizierjiang AiersilanData LeakagePoint Cloud Classification

    University of Macau

  24. Discovering Collaboration from Novelty: Random Network Distillation for Clustered Federated Learning

    Jun 29, 2026Davide Domini, Gianluca Aguzzi, Ivana Dusparic +2Unsupervised ClusteringNon-IID Federated Learning

    University of Bologna Cesena, Italy · Trinity College Dublin Dublin, Ireland

  25. Federated Learning with Energy-Based Structured Probabilistic Inference

    Jun 29, 2026Dario Fenoglio, Daniil Kirilenko, Martin Gjoreski +1Federated Learning AggregationConditional Random Fields

    Faculty of Informatics, Universit`a della Svizzera italiana, Lugano, Switzerland.

  26. SP-CACW: Convergence-Aware Client Weighting for Selfish Personalized Learning

    Jun 28, 2026Yaron Kiselman, Kfir Y. LevyFederated Learning AggregationNon-IID Federated Learning

    Technion Haifa, Israel

  27. Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning

    Jun 27, 2026Wenhao Yuan, Chenchen Lin, Jian Chen +3Class-Incremental LearningFederated Continual Learning

    Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China · School of Artificial Intelligence, Sun Yat-sen University, China.

  28. Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach

    Jun 23, 2026Lianshuai Guo, Zhongzheng Yuan, Xunkai Li +2Graph Structure LearningLong-Tail Learning

    Shandong University, School of Airspace Science and Engineering, Weihai 264209, China · Beijing Institute of Technology, School of Computer Science and Technology, Beijing 100081, China

  29. Subspace-Constrained Federated Learning with Low-Rank Adaptation

    Jun 21, 2026Neranjan Senarath, Rohit Muralitharan, Sadia AsifFederated Learning AggregationNon-IID Federated Learning

    Department of ECSE Rensselaer Polytechnic Institute Troy, NY 12180, USA · Department of Computer Science Rensselaer Polytechnic Institute Troy, NY 12180, USA

  30. C2FL: Clustered Continual Federated Learning under Spatial and Temporal Drift

    Jun 16, 2026Davide Domini, Gianluca Aguzzi, Lorenzo Pellegrini +2Federated Learning AggregationFederated Continual Learning

    University of Bologna · Aarhus University