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. A Trust-Network-Based Federated Learning Framework for Multi-Center Aging Clock Prediction

    Sep 9, 2026Chunxu Zhang, Bo Li, Wenliang Wang +7Generative ReplayFederated Continual Learning

    PolyU Academy for Artificial Intelligence, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China. · Quantum Life, Hong Kong, China. · Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China. +3

  2. Beyond Conventional Federated Learning via High-Order Regularization

    Sep 9, 2026Alireza Kabgani, Masoud AhookhoshFederated Learning

    Department of Mathematics, University of Antwerp, Antwerp, Belgium

  3. NEXUS-MI: Communication-Aware Federated Personalization for Gateway-Coordinated Motor-Imagery Brain-Computer Interfaces

    Sep 9, 2026Daniel Adu Worae, Aarthy NagarajanElectroencephalographyBrain-Computer Interfaces

    Department of Computer Science and Engineering, University of Notre Dame, 307 Fitzpatrick Hall, Notre Dame, IN 46556, USA · Department of Computer Science and Engineering and the Lucy Family Institute for Data and Society, University of Notre Dame, Notre Dame, IN 46556, USA

  4. ZK-Trace: Certified Collusion Tracing with Zero-Knowledge Credentials for Federated GNSS Interference Monitoring

    Sep 8, 2026Redwanul Karim, Nisha L. Raichur, Lucas Heublein +3Dataset WatermarkingFederated Learning

    Fraunhofer Institute for Integrated Circuits IIS, 90411 Nürnberg, Germany

  5. When Topology Betrays Privacy: Lattice-Based Reconstruction Attacks on Secure Aggregation in Decentralized Federated Learning

    Sep 8, 2026Wenrui Yu, Changlong Ji, Johannes Bjerva +1Federated Learning AggregationSecure Aggregation

    Aalborg University Copenhagen, Denmark · Institut Polytechnique de Paris Paris, France

  6. Geographically Regularized AUC-Maximizing Personalized Federated Learning

    Sep 8, 2026Mayu Hiraishi, Kensuke Tanioka, Toshio ShimokawaClinical Risk PredictionFederated Learning

    Department of Medicine · Wakayama Medical University · Wakayama, Japan +3

  7. Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling

    Sep 8, 2026Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +2Federated Learning AggregationCommunication-Efficient Distributed Training

    IoT Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China · School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281 USA · Institute for Intelligent Networked Systems, Northeastern University London, London, E1 8PH, UK +2

  8. Parser-Free VLM Verification for Federated Weakly Supervised Video Anomaly Detection

    Sep 7, 2026Sébastien Thuau, Amira Gran, Siba Haidar +1Multimodal Anomaly DetectionWeakly Supervised Video Anomaly Detection

    esieaLab, ESIEA, Paris, France · ETIS Laboratory, CNRS, UMR8051, CY Cergy Paris University, Paris, France

  9. Robust Decentralized Personalized Federated Learning via Prediction-Constrained Neighborhood Collaboration

    Sep 7, 2026Xiao Ma, Hong Shen, Hui Tian +2Federated Learning AggregationByzantine-Robust Federated Learning

    Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China

  10. Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration

    Sep 7, 2026Xiao Ma, Hong Shen, Hui Tian +2Byzantine-Robust Federated LearningFederated Knowledge Distillation

    Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China · School of Engineering and Technology, Central Queensland University, Australia · School of Information and Communication Technology, Griffith University, Australia

  11. 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

  12. Fine-grained Distributed Backdoor Attacks in Federated Learning

    Sep 7, 2026Jian Wang, Hong Shen, Wei Ke +1Backdoor Attacks in Federated LearningFederated Learning

    Faculty of Applied Sciences, Macao Polytechnic University, R. de Luís Gonzaga Gomes, Macao, 999078, China · Faculty of Cyberspace Security, Guangzhou University of Software, No.548 Guangcong South Road, High-tech Industrial Park, Conghua Economic Development Zone, Guangzhou, 501900, China · School of Engineering and Technology, Central Queensland University, Bruce Highway, Norman Gardens, Rockhampton, Queensland, 4702, Australia +1

  13. Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning

    Sep 4, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamFederated Learning AggregationByzantine-Robust Federated Learning

    Department of Computer Science Kennesaw State University Marietta, USA

  14. Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

    Sep 3, 2026Michael Khavkin, Kichang Lee, Jaeho Jin +2Differentially Private Federated LearningDifferential Privacy

    School of Industrial & Intelligent Systems Engineering, Tel Aviv University · School of Integrated Technology, Yonsei University

  15. Govern the Model, Not Only the Data: Storage, Circulation, and Learning in Creative AI

    Sep 3, 2026Phoenix Perry, George Simms, Elizabeth Wilson +9AI GovernanceFederated Learning

    University of the Arts London · New York University

  16. Differentially private federated learning with Byzantine-robust aggregation: A cross-domain framework for secure model training in banking and healthcare systems

    Sep 2, 2026Srikumar NayakFederated Learning AggregationByzantine-Robust Federated Learning

    Advanced Artificial Intelligence (AI) Engineering and Cybersecurity Threat Research, LTIMindtree Research, New York City, NY, USA

  17. CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning

    Sep 2, 2026Chao Feng, Burkhard StillerBackdoor AttacksBackdoor Attacks in Federated Learning

    Communication Systems Group, Department of Informatics University of Zurich, Switzerland

  18. Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks

    Sep 2, 2026Ali Akarma, Toqeer Ali Syed, Muhammad Khan +2Differential PrivacyFederated Learning

    Islamic University of Madinah, Madinah, Saudi Arabia · King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia · AI Center, Faculty of Computer and Information Systems Islamic University of Madinah, Madinah 42351, Saudi Arabia +2

  19. 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

  20. Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts

    Sep 2, 2026Sanjaya Poudel, Nirajan Kunwor, Manish Dhakal +2Federated Fine-TuningFederated Learning

    North Carolina A&T State University · Tribhuvan University · University of Tennessee-Knoxville +1

  21. Optimizing Byzantine Node Placement in Decentralized Federated Learning

    Sep 1, 2026Edoardo Gabrielli, Gabriele TolomeiByzantine-Robust Federated LearningAdversarial Attacks

    Dipartimento di Ingegneria Informatica, Automatica e Gestionale Sapienza University of Rome Rome, Italy · Dipartimento di Informatica Sapienza University of Rome Rome, Italy

  22. 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

  23. 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

  24. Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost

    Aug 31, 2026Zihang Liang, Haochen Zhang, Lingzhou XueReinforcement LearningFederated RL

    Department of Statistics, The Pennsylvania State University

  25. Federated Multi-Task Learning for Bladder Tumor Segmentation and MIBC Classification Using a Hybrid CNN-Transformer Architecture

    Aug 31, 2026Malhar Udmale, Divyanshu Dwivedi, Aarohi Dhand +3Hybrid CNN-Transformer ArchitecturesMulti-Task Learning

    Indian Institute of Information Technology Allahabad, Prayagraj, India · Manipal University Jaipur, Jaipur, India · Norwegian University of Science and Technology, Trondheim, Norway

  26. Coordination on a Budget: Federated Active Learning with Few Labels

    Aug 19, 2026Liam Mohr, Daphna WeinshallActive LearningPrivacy-Preserving ML

    School of Computer Science and Engineering The Hebrew University of Jerusalem, Jerusalem 91904, Israel

  27. Understanding Backdoor Vulnerabilities in Vertical Federated Learning: The Gap Between Research and Practice

    Aug 13, 2026Ziqi Zhao, Jialin Lu, Junjie Shan +3Backdoor AttacksBackdoor Attacks in Federated Learning

    School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China

  28. 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

  29. 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

  30. 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