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. Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI

    May 28, 2025Santhosh Parampottupadam, Melih Coşğun, Sarthak Pati +7Federated Learning AggregationDifferentially Private Stochastic Gradient Descent

    German Cancer Research Center (DKFZ), Division of Medical Image Computing, Heidelberg, Germany · Department of Computer Engineering, Bilkent University, Universiteler 06800 Çankaya/Ankara, Türkiye · Medical Research Group, MLCommons, San Francisco, CA, USA +2

  2. Federated Independent Component Analysis via Spectral Alignment and Robust Aggregation

    May 26, 2025Xin Bing, Dian Jin, Yuqian ZhangFederated Learning AggregationIndependent Component Analysis

    University of Toronto · National University of Singapore · Rutgers University

  3. CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection

    Apr 2, 2025Diego Cajaraville-Aboy, Marta Moure-Garrido, Carlos Beis-Penedo +5Network Intrusion DetectionEncrypted Network Traffic Analysis

    atlanTTic Research Center – ICLAB – Universidade de Vigo, Vigo, 36310, Spain · Department of Telematic Engineering, Universidad Carlos III de Madrid, Spain

  4. Asynchronous Federated Continual Segmentation with Evolving Clients and Label Spaces

    Mar 19, 2025Can Peng, Qianhui Men, Pramit Saha +5Federated Learning AggregationFederated Continual Learning

    University of Oxford, Oxford, United Kingdom · University of Bristol, Bristol, United Kingdom

  5. FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in Federated Learning

    Feb 23, 2025Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad SaifData Poisoning AttacksFederated Learning

    Department of Electrical and Computer Engineering, University of Windsor, Windsor ON, Canada · Faculty of Computer Science, University of New Brunswick, Fredericton NB, Canada

  6. GDBR: Label Recovery Attack Against Partial Gradient Encryption in Federated Learning

    Dec 17, 2024Rui Zhang, Ka-Ho ChowGradient Inversion AttacksAdversarial Attacks

    HKU Musketeers Foundation Institute of Data Science · The University of Hong Kong · Hong Kong SAR, China +1

  7. How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?

    Dec 10, 2024Joohyung Lee, Jungchan Cho, Wonjun Lee +2Mechanism DesignSplit Federated Learning

    School of Computing, Gachon University, Seongnam 13120, Rep. of Korea · School of Cybersecurity, Korea University, Seoul, Rep. of Korea · Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544 USA

  8. A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications

    Dec 9, 2024Francesco Cremonesi, Lucia Innocenti, Sebastien Ourselin +3Communication-Efficient Distributed TrainingFederated Learning

    Epione Research Group, Inria Center of Universit´e Cˆote d’Azur, France · King’s College London, London, UK

  9. H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications

    Dec 9, 2024Jiechao Gao, Yuangang Li, Jie Wang +3Hierarchical Federated LearningInternet of Things

    University of Virginia Charlottesville, VA, USA

  10. Batch effects can impair federated learning in multi-center omics studies

    Dec 8, 2024Yuliya Burankova, Julian Klemm, Jens J. G. Lohmann +5Secure Multi-Party ComputationPrivacy-Preserving ML

    Institute for Computational Systems Biomedicine, University of Hamburg, 22761 Hamburg, Germany · Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany · Department of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense, Denmark +3

  11. Nonlinear Equilibrium Transitions in a Potential Game Model for Federated Learning

    Nov 18, 2024Kang Liu, Ziqi Wang, Enrique ZuazuaNash EquilibriumGame Theory

    Institut de Mathématiques de Bourgogne, Université Bourgogne Europe, CNRS, Dijon, 21000, France · Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship, Department of Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstrasse 11, Erlangen, 91058, Germany · Chair of Computational Mathematics, Fundación Deusto, Avenida de las Universidades, 24, Bilbao, 48007, Basque Country, Spain +1

  12. Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning

    Oct 31, 2024Minghui Chen, Meirui Jiang, Xin Zhang +3Communication-Efficient Distributed TrainingModel Merging

    University of British Columbia · Vector Institute · Chinese University of Hong Kong +1

  13. Trust-free Personalized Decentralized Learning

    Oct 15, 2024Yawen Li, Yan Li, Junping Du +3Decentralized LearningFederated Learning

    Beijing University of Posts and Telecommunications, Beijing, China

  14. Influence-Oriented Personalized Federated Learning

    Oct 4, 2024Yue Tan, Guodong Long, Jing Jiang +1Federated Learning AggregationNon-IID Federated Learning

    Griffith University · University of Technology Sydney · Hong Kong Polytechnic University

  15. Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation

    Jul 23, 2024Xinghao Wu, Xuefeng Liu, Jianwei Niu +4Prompt LearningFederated Learning

    School of Computer Science and Engineering, Beihang University, Beijing, China · Zhongguancun Laboratory, Beijing, China · Sichuan University, Sichuan, China +1

  16. Federated Class-Incremental Learning with Hierarchical Generative Prototypes

    Jun 4, 2024Riccardo Salami, Pietro Buzzega, Matteo Mosconi +2Class-Incremental LearningPrototype-Based Classification

    AImageLab - University of Modena and Reggio Emilia, Modena, Italy

  17. Personalized Additive Modeling for Multi-level Federated Learning

    May 26, 2024Shutong Chen, Guodong Long, Tianyi Zhou +3Non-IID Federated LearningFederated Learning

    University of Technology Sydney, Australia · Mohamed bin Zayed University of Artificial Intelligence, UAE · The Hong Kong Polytechnic University, China

  18. Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks

    Apr 30, 2024Yi Li, Renyou Xie, Chaojie Li +2Byzantine-Robust Federated LearningElectric Vehicle Charging

    College of Electronic and Information Engineering, Southwest University · Department of Electrical Engineering, City University of Hong Kong, Hong Kong · Department of Electrical and Electronic Engineering, the University of Hong Kong, Hong Kong

  19. PPFedIT: Towards Privacy-Preserving Federated Instruction Tuning with Few-shot Local Examples

    Mar 10, 2024Zhuo Zhang, Jingyuan Zhang, Jintao Huang +6Privacy Leakage in Language ModelsFew-Shot Learning

    Harbin Institute of Technology, Shenzhen, China · Peng Cheng Lab, Shenzhen, China · Kuaishou, Beijing, China +1

  20. FedReview: Review and Dispose Poisoned Updates without Validation Datasets or Historic Knowledge

    Feb 26, 2024Tianhang Zheng, Yanlu Li, Bohan Deng +1Federated Learning AggregationByzantine-Robust Federated Learning

    University of Missouri-Kansas City · University of Toronto

  21. Convergence Analysis of Sequential Federated Learning on Heterogeneous Data

    Nov 6, 2023Yipeng Li, Xinchen LyuNon-IID Federated LearningStochastic Optimization Convergence

    National Engineering Research Center for Mobile Network Technologies Beijing University of Posts and Telecommunications Beijing, 100876, China

  22. Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification

    Oct 6, 2023Shanshan Han, Wenxuan Wu, Baturalp Buyukates +4Byzantine-Robust Federated LearningAdversarial Attacks

    University of California, Irvine · Texas A&M University · University of Birmingham +3

  23. StoCFL: A Stochastically Clustered Federated Learning Framework for Non-IID Data with Dynamic Client Participation

    Mar 2, 2023Dun Zeng, Xiangjing Hu, Shiyu Liu +3Non-IID Federated LearningClustered Federated Learning

    University of Electronic Science and Technology of China · Peng Cheng Lab · Harbin Institute of Technology, Shenzhen +1

  24. Class-wise Contribution Estimation via Logit Maximization for Federated Learning

    Date pendingAsim Ukaye, Nurbek Tastan, Mubarak Abdu-Aguye +1Class-Imbalanced LearningFederated Learning Aggregation

    Mohamed bin Zayed University of Artificial Intelligence, UAE · Michigan State University, USA

  25. Byzantine-Robust Federated Fire Detection with a Rotating Coordinator

    Date pendingGeorgia Argyrou, Aymen Bahroun, Hedi Fendri +1Federated Learning AggregationByzantine-Robust Federated Learning

    Department of Computer Science, Aalto University, Espoo, Finland · Kudelski Labs