Heterogeneous Federated Learning

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38 papers in the last four weeks, up 23% on the four weeks before. 0.3% of all new papers.

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  1. Federated Imputation under Heterogeneous Feature Spaces

    May 15, 2026Imane Hocine, Chaimaa Medjadji, Sylvain Kubler +2Incomplete Data ImputationFederated Learning

    SnT, University of Luxembourg, Luxembourg · FSTM/DCS, University of Luxembourg, Luxembourg

  2. Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions

    May 14, 2026Sanja Karilanova, Subhrakanti Dey, Ayça ÖzçelikkaleSpiking Neural NetworksFederated Learning

    Department of Electrical Engineering, Uppsala University, Sweden

  3. Collaborative Yet Personalized Policy Training: Single-Timescale Federated Actor-Critic

    May 14, 2026Leo Muxing Wang, Pengkun Yang, Lili SuFederated RLActor-Critic Methods

    Northeastern University · Tsinghua University

  4. FedHPro: Federated Hyper-Prototype Learning via Gradient Matching

    May 13, 2026Huan Wang, Jun Shen, Haoran Li +6Federated LearningHeterogeneous Federated Learning

    School of Computing and Information Technology, University of Wollongong, Wollongong, Australia · School of Computing and Information Systems, Singapore Management University, Singapore, Singapore · Monash University, Australia +3

  5. Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity

    May 13, 2026Ammar Mahran, Artavazd Maranjyan, Peter RichtárikDistributed OptimizationNonconvex Stochastic Optimization

    KAUST

  6. Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity

    May 12, 2026Sirui Zhang, Haonan Wang, Xunkai Li +5Multimodal Federated LearningMissing-Modality Learning

    Beijing Institute of Technology

  7. Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs

    May 12, 2026Amr Abourayya, Jens Kleesiek, Michael KampLLM Fine-TuningFederated Knowledge Distillation

    Lamarr Institute for ML and AI, Technical University Dortmund · Institute for AI in medicine (IKIM),University Hospital Essen

  8. Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention

    May 12, 2026Qijun Hou, Yuchen Shi, Pingyi Fan +1Client Selection in Federated LearningFederated Learning

    Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China · Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong

  9. 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

  10. COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication

    May 11, 2026Ben Rachmut, Luise Ge, William Yeoh +2Clustered Federated LearningFederated Learning

    Washington University in St. Louis

  11. FERA: Uncertainty-Aware Federated Reasoning for Large Language Models

    May 11, 2026Ruhan Wang, Chengkai Huang, Zhiyong Wang +6LLM ReasoningFederated Learning

    Indiana University · The University of New South Wales · The Chinese University of Hong Kong +2

  12. M2^2FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices

    May 10, 2026Manjil Nepal, Kimsie Phan, Tamoghna Ojha +2Multimodal Federated LearningAir Quality Prediction

    Department of Computer Science and Engineering, SRM University-AP, India · Department of Mathematics and Computing, IIT (ISM) Dhanbad, India · Department of Mathematics and the Department of Computer Science, University of Central Florida, USA

  13. 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

  14. 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

  15. 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

  16. FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference

    May 9, 2026Qijun Hou, Yuchen Shi, Pingyi Fan +1Federated LearningHeterogeneous Federated Learning

    Dept. of Electronic Engineering, BNRist, Tsinghua University. · Dept. of Electronic and Computer Engineering, HKUST.

  17. UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment

    May 8, 2026Shih-Yu Lai, Hirozumi Yamaguchi, Shang-Tse Chen +2Multimodal Federated LearningFederated Learning Aggregation

    National Taiwan University · RIKEN-CCS · The University of Osaka +1

  18. HARMONY: Bridging the Personalization-Generalization Gap by Mitigating Representation Skew in Heterogeneous Split Federated Learning

    May 8, 2026Jiseok Youn, You Rim Choi, Goodsol Lee +3Meta-LearningOOD Generalization

    Department of ECE and INMC, Seoul National University, Seoul, South Korea · Graduate School of Data Science, Seoul National University, Seoul, South Korea · Department of Computer Science, University of Colorado Boulder, CO, USA

  19. FedFrozen: Two-Stage Federated Optimization via Attention Kernel Freezing

    May 7, 2026Junye Du, Zhenghao Li, Yushi Feng +1Transformer AttentionFederated Learning

    The University of Hong Kong

  20. Beyond Rigid Alignment: Graph Federated Learning via Dual Manifold Calibration

    May 7, 2026Wentao Yu, Bo Han, Jie Yang +1Federated Graph LearningManifold Learning

    School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing, China · Department of Computer Science Hong Kong Baptist University Hong Kong, China · School of Automation and Intelligent Sensing Shanghai Jiao Tong University Shanghai, China

  21. Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA

    May 7, 2026Jinqian Chen, Chang Liu, Jihua ZhuFederated Learning AggregationLow-Rank Adaptation

    School of Software Engineering Xi’an Jiaotong University Xi’an, China 710000

  22. From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning

    May 7, 2026Xinghao Wu, Jianwei Niu, Guogang Zhu +3Representation AlignmentFederated Learning

    State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 100091, China · Zhongguancun Laboratory, Beijing 100194, China · Center for AI Business Innovation, Department of Management Science and Systems, School of Management, University at Buffalo, NY 14260 USA

  23. FedeKD: Energy-Based Gating for Robust Federated Knowledge Distillation under Heterogeneous Settings

    May 7, 2026Quang-Huy Nguyen, Jiaqi Wang, Wei-shinn KuFederated Knowledge DistillationKnowledge Distillation

    Department of Computer Science and Software Engineering Auburn University Auburn, AL 36849

  24. Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity

    May 6, 2026Junxiang Wu, Zhiqiang Kou, Hongwei Zeng +7Federated Learning AggregationLabel Distribution Learning

    School of Computer Science and Engineering, Southeast University, Nanjing, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China · University of the Chinese Academy of Sciences, China +3

  25. FL-Sailer: Efficient and Privacy-Preserving Federated Learning for Scalable Single-Cell Epigenetic Data Analysis via Adaptive Sampling

    May 6, 2026Guangyi Zhang, Yi Dai, Yiyun He +1Federated LearningHeterogeneous Federated Learning

    Department of Computer Science, University of California, Irvine · Department of Mathematics, University of California, San Diego

  26. Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models

    May 5, 2026Shule Lu, Yujing Wang, Hainan Zhang +5Reward ModelingPreference Optimization

    Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing · Institute of Artificial Intelligence, Beihang University, China · MAIS, Institute of Automation, Chinese Academy of Sciences, China +2

  27. FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training

    May 4, 2026Ahmad Dabaja, Rachid El-AzouziCommunication-Efficient Distributed TrainingHeterogeneous Federated Learning

    Laboratoire Informatique d’Avignon (LIA), Avignon University, France

  28. Heterogeneous Model Fusion for Privacy-Aware Multi-Camera Surveillance via Synthetic Domain Adaptation

    May 4, 2026Peggy Joy Lu, Wei-Yu Chen, Yao-Tsung Huang +1Synthetic Data AugmentationUnsupervised Domain Adaptation

    aDepartment of Computer Science and Information Engineering, National Chung Cheng2026 University, Chiayi, Taiwan · bDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan · cNational Center for High-Performance Computing, Taichung, Taiwan

  29. FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training

    May 4, 2026Yijiang Li, Emon Dey, Zilinghan Li +3Federated Learning AggregationHigh-Performance Computing

    Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA · Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, USA

  30. FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization

    May 1, 2026Zoe Fowler, Ghassan AlRegibFederated Learning AggregationCross-Domain Generalization

    Georgia Institute of Technology