Federated Learning

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91 papers in the last four weeks, up 176% on the four weeks before. 0.9% of all new papers.

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  1. 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

  2. Beyond Parameter Space: NTK-Guided Personalized Aggregation for Robust Federated Learning

    Aug 12, 2026Mirko Konstantin, Stefan Zachow, Anirban MukhopadhyayFederated Learning AggregationDecentralized Learning

    Zuse Institute Berlin (ZIB) Takustraße 7 14195 Berlin, Germany · Technical University of Darmstadt Karolinenplatz 5 64289 Darmstadt, Germany

  3. Hierarchical Federated Transfer Learning in Digital Twin-Based Vehicular Networks

    Aug 12, 2026Qasim Zia, Saide Zhu, Haoxin Wang +2Hierarchical Federated LearningDigital Twins

    Georgia State University, Atlanta, GA, 30303 · Penn State Berks, Reading, PA, 19610

  4. Analysis of Federated Aggregation under Model Poisoning and Backdoor Attacks: A Reconstructed Cross-Dataset and Cross-Architecture Benchmark

    Aug 11, 2026Soumya Mazumdar, Vineet Kumar Rakesh, Tapas SamantaFederated Learning AggregationByzantine-Robust Federated Learning

    Department of Computer Science and Business Systems Gargi Memorial Institute of Technology Affiliated to Maulana Abul Kalam Azad University of Technology Balarampur, Mouza Beralia, Baruipur, Kolkata 700144, West Bengal, India · Computer and Informatics Group, Variable Energy Cyclotron Centre 1/AF, Bidhannagar, Kolkata 700064, West Bengal, India · Engineering Sciences, Homi Bhabha National Institute Anushaktinagar, Mumbai, Maharashtra 400094, India

  5. FedCGR: Federated Cross-Domain Generative Recommendation

    Aug 11, 2026Zhuodong Liu, Hugen Lv, Xiangyu Li +2Recommender SystemsGenerative Recommendation

    Beijing Jiaotong University China · Shanghai Jiao Tong University China · University of Malaya Malaysia +1

  6. Federated Learning for Distributed CNC Tool Wear Prediction

    Aug 11, 2026Afsana Khan, Morris Stallmann, Marcin Pietrasik +2ManufacturingPredictive Maintenance

    Maastricht University, Maastricht, Netherlands

  7. SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks

    Aug 10, 2026Yue Xia, Tayyebeh Jahani-Nezhad, Mayank Bakshi +1Federated Learning AggregationLow-Rank Adaptation

    Technical University of Munich Munich, 80333 Germany · Technische Universität Berlin Berlin, 10587 Germany · Northern Arizona University Flagstaff, AZ 86011 USA

  8. DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning

    Aug 10, 2026Mainak Singha, Niccolò Biondi, Elisa Ricci +1Mixture-of-Experts Language ModelsVLM Adaptation

    University of Trento, Italy · Fondazione Bruno Kessler, Italy · University of Bergamo, Italy

  9. Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive Approach

    Aug 10, 2026Xinyi Xu, Bingnan Xiao, Shuang Qin +2LLM Fine-TuningLow-Rank Adaptation

    University of Electronic Science and Technology of China · Fudan University · Singapore University of Technology and Design

  10. 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

  11. MaxModShift: Model Privacy via Designed Shifts

    Aug 10, 2026Nomaan A. Kherani, Urbashi MitraModel Extraction AttacksPrivacy-Preserving ML

    University of Southern California

  12. Targeted Label-Flipping and Oversampling Attacks on Federated Conditional GANs

    Aug 10, 2026Panav Shah, Avishek GhoshAdversarial AttacksData Poisoning Attacks

    Indian Institute of Technology, Bombay Mumbai, India

  13. FEAST: Federated Shared-Space Training for Resource-Heterogeneous Clients

    Aug 10, 2026Bostan Khan, Masoud DaneshtalabDynamic Neural NetworksCommunication-Efficient Distributed Training

    Mälardalen University, Västerås, Sweden

  14. Multimodal Federated Learning under Dual-Axis Modality Missingness

    Aug 10, 2026Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin +5Multimodal Federated LearningMissing-Modality Learning

    1KAIST · 2CUHK · 3HKUST

  15. 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

  16. 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

  17. F2STNet: Fair and Federated Spectral-Temporal Modeling for Graph Forecasting

    Aug 10, 2026Jiayi Zhang, Jinfeng Xu, Hewei Wang +7Federated Learning AggregationFederated Graph Learning

    University of Nottingham · The University of Hong Kong · Carnegie Mellon University +1

  18. Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes

    Aug 10, 2026Jae Ho Chang, Arnab Auddy, Subhadeep PaulEmpirical BayesFederated Learning

    Department of Statistics, The Ohio State University

  19. Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection

    Aug 9, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Federated Learning AggregationAutoencoders

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

  20. Robust Reputation-Driven Crowdsourced Federated Learning

    Aug 9, 2026Mouhamed Amine Bouchiha, Gregory BlancByzantine-Robust Federated LearningBackdoor Attacks

    SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris

  21. Out-of-Distribution Federated Distillation with Domain-Aware Proxy

    Aug 9, 2026Jiahao Xiao, Jiangming LiuOOD GeneralizationFederated Knowledge Distillation

    School of Information Science and Engineering, Yunnan University, China

  22. Sheaf-Based Federated Representation Learning

    Aug 8, 2026Gabriele D'Acunto, Enrico Grimaldi, Valeria Avino +4Federated LearningHeterogeneous Federated Learning

    Sapienza University of Rome, Italy

  23. EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models

    Aug 8, 2026Matteo Caligiuri, Francesco Barbato, Pietro Zanuttigh +1Federated Knowledge DistillationCross-Architecture Knowledge Distillation

    Department of Electrical & Computer Engineering, Northeastern University, Boston (MA), United States · Department of Information Engineering, University of Padua, Padua, Italy

  24. Hierarchical Multi-Task Federated Learning in VANETs

    Aug 8, 2026M. Saeid HaghighiFard, Sinem ColeriHierarchical Federated LearningCommunication-Efficient Distributed Training

    Department of Electrical and Electronics Engineering, Koc University, Istanbul, Turkey

  25. FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity

    Aug 7, 2026Deepank Girish, Yi Hao Chan, Yubin Zheng +2Functional ConnectivityMedical Diagnosis

    Nanyang Technological University · Shanghai Jiao Tong University · Indian Institute of Technology Ropar

  26. TOFD: Target-Oriented Feature Decoupling against Poisoning Attacks in Split Federated Learning

    Aug 7, 2026Yuhan Xie, Jingrong Huang, Chen LyuAdversarial RobustnessSplit Federated Learning

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

  27. 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

  28. 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

  29. Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization

    Aug 6, 2026Grigory MalinovskyByzantine-Robust Federated LearningCommunication-Efficient Distributed Training

    King Abdullah University of Science and Technology Thuwal, Kingdom of Saudi Arabia

  30. Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

    Aug 6, 2026Devharsh Trivedi, Nesrine Kaaniche, Nikos Triandopoulos +2Federated Learning AggregationByzantine-Robust Federated Learning

    Department of Computer Science, Bowie State University, MD, USA · SAMOVAR, T´el´ecom SudParis, Institut Polytechnique de Paris, Palaiseau, France · Department of Computer Science, Brown University, RI, USA +1