Hierarchical Federated Learning

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Overview

Hierarchical federated learning studies how devices can train models locally and combine updates through intermediate edge or fog nodes before reaching a central server. Its methods include clustered and personalized aggregation, update compression, adaptive client selection, and resource-aware scheduling to manage non-identical data, limited bandwidth, energy, and intermittent connections. Applications include IoT, vehicles, satellites, wearables, and infrastructure monitoring, where centralized data collection may be impractical or sensitive. A central challenge is balancing accuracy and fairness against communication, delay, and energy costs, while establishing stronger theoretical guarantees and validating methods on real hardware.

Latest papers

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19 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Encoder-Sharing Hierarchical Federated Multi-Task Learning for VANETs

    Sep 28, 2026M. Saeid HaghighiFard, Sinem ColeriHierarchical Federated LearningIntelligent Transportation Systems

    Department of Electrical and Electronics Engineering, Koc¸ University, Istanbul, Türkiye

  2. Constrained Bayesian Optimization for Hierarchical Federated Learning in IoT Networks for Plant Disease Classification

    Sep 6, 2026Athanasios Papanikolaou, Athanasios Tziouvaras, Apostolos Xenakis +6Hierarchical Federated LearningInternet of Things

    University of Zagreb, Croatia · University of Thessaly, Greece · International Hellenic University +3

  3. FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study

    Sep 1, 2026Sai Puppala, Bhabani P. Sinha, Koushik SinhaHierarchical Federated LearningWildfire Detection

    School of Computing Southern Illinois University Carbondale, IL 62901, USA

  4. 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

  5. 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

  6. 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

  7. FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks

    Jun 26, 2026Emmanuel Rassou, Tomas GonzalezHierarchical Federated LearningFederated Learning Aggregation

    School of Engineering and Applied Sciences (SEAS) Harvard Cambridge, MA, USA

  8. SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System

    Jun 16, 2026Seyed Salar Ghazi, Kaiwen Zhang, Mehdi feizi +1Hierarchical Federated LearningMechanism Design

    Department of Software and IT Engineering, École de Technologie Supérieure (ÉTS), Montréal, QC H3C 1K3, Canada · Department of Economics, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran · Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada

  9. Hierarchical Federated Learning with Dynamic Clustering and Adaptive Regularization for Robust Infrastructure Inspection

    Jun 2, 2026Yuhu Feng, Keisuke Maeda, Takahiro Ogawa +1Hierarchical Federated LearningNon-IID Federated Learning

  10. Towards Family-Grouped Hierarchical Federated Learning on Sub-5KB Models: A Feasibility Study of Privacy-Preserving ECG Monitoring for Ultra-Resource-Constrained Wearables

    May 15, 2026Hangyu WuHierarchical Federated LearningCommunication-Efficient Distributed Training

    Shenzhen Coddie Technology co.,ltd, Shenzhen, 518000, China

  11. Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning

    May 12, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalHierarchical Federated LearningFederated Learning Aggregation

    Computer Science and Informatics · London South Bank University · London, UK +1

  12. A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning

    May 5, 2026Dario Filatrella, Ragnar Thobaben, Mikael SkoglundHierarchical Federated LearningFederated Learning

    Department of Information Science and Engineering Royal Institute of Technology Stockholm, Sweden

  13. Experience Constrained Hierarchical Federated Reinforcement Learning for Large-scale UAV Teams in Hazardous Environments

    May 4, 2026Qinwei Huang, Rui Zuo, Simon Khan +1Hierarchical Federated LearningFederated RL

    EECS Syracuse University Syracuse, USA · AFRL Air Force Research Laboratory Rome, USA

  14. Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design

    May 1, 2026Seyed Mohammad Azimi-Abarghouyi, Mehdi Bennis, Leandros TassiulasHierarchical Federated LearningCommunication-Efficient Distributed Training

    Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden · Centre for Wireless Communications, University of Oulu, Oulu, Finland · Department of Electrical Engineering, Yale University, New Haven, USA

  15. Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification

    Apr 28, 2026Athanasios Papanikolaou, Athanasios Tziouvaras, Pavlos Stoikos +6Hierarchical Federated LearningPlant Disease Classification

    University of Zagreb, Croatia · University of Thessaly, Greece · University of Glasgow, UK +2

  16. Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation

    Mar 25, 2026Kenechi Omeke, Michael Mollel, Lei Zhang +2Federated LearningHierarchical Federated Learning

    James Watt School of Engineering, University of Glasgow, U.K.

  17. Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training

    Mar 9, 2026Yiannis Papageorgiou, Yannis Thomas, Ramin Khalili +1Split Federated LearningFederated Learning

    Department of Informatics, Athens University of Economics and Business, Athens, Greece · Huawei Technologies Duesseldorf Gmbh, Munich, Germany

  18. ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over the Network Edge

    Jan 20, 2026Xiaohong Yang, Tong Xie, Minghui Liwang +6Federated Fine-TuningFederated Learning

    the School of Informatics, Xiamen University, Fujian, China · the National University of Singapore · the Department of Control Science and Engineering, the National Key Laboratory of Autonomous Intelligent Unmanned Systems, and also with Frontiers Science Center for Intelligent Autonomous Systems, Ministry of Education, Tongji University, Shanghai, China +2

  19. 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