Clustered Federated Learning

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3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. CF-LoRA: Decoupled Factor Aggregation and Adaptation-Aware Client Clustering for Federated LoRA Fine-Tuning

    Sep 29, 2026Mengjun Yi, Langxing Yang, Suhan Guo +2Federated Learning AggregationFederated Fine-Tuning

    State Key Laboratory for Novel Software Technology · School of Artificial Intelligence School of Electronic Science and Engineering Nanjing University

  2. Concurrent Split Learning Through Stable Client Clustering

    Sep 24, 2026Mohammad Kohankhaki, Valentin Rentschler, Anke SchmeinkSplit Federated LearningClustered Federated Learning

    Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany

  3. Opinion Dynamics-based Coalition Formation for Federated Learning in Heterogeneous IoT Systems

    Sep 17, 2026Mohammed El Hanjri, Anas Abouaomar, Hamidou Tembine +1Opinion DynamicsFederated Learning Aggregation

    ENSIAS, Mohammed V University in Rabat, Morocco. · Department of Electrical and Computer Engineering, School of Engineering, University of Quebec at Trois-Rivieres, Quebec, Canada.

  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. 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

  6. Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization

    Aug 2, 2026Furkan Bagci, Busra Tegin, Mohammad Kazemi +1Federated Learning AggregationNon-IID Federated Learning

    Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607 USA · IETR-UMR CNRS 6164, Centrale-Supélec Rennes Campus, Cesson-Sévigné 35576, France · Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, U.K. +1

  7. FeDepth: Federated Learning for Depth Estimation under Robot Heterogeneity

    Aug 2, 2026Ganghyeon Lee, Inha Lee, Junhee Lee +3Depth EstimationNon-IID Federated Learning

    Ulsan National Institute of Science and Technology (UNIST), Republic of Korea

  8. Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata

    Jul 30, 2026Michael Ben Ali, Imen Megdiche, André Péninou +1Privacy-Preserving MLClustered Federated Learning

    UT3, IRIT, CNRS · INU Champollion, ISIS, IRIT, CNRS · UT2J, IRIT, CNRS +1

  9. Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach

    Jul 29, 2026Cengis HasanCooperative Game TheoryClustering

    Cognifinity, Luxembourg

  10. An Informativeness-based Clustered Federated Learning Method for Reliable Traffic Prediction in Managed Wi-Fi Networks

    Jul 29, 2026Luca Barbieri, Gianluca Fontanesi, Lorenzo Galati Giordano +2ClusteringWireless Communications

    Radio Systems Research, Nokia Bell Labs, Stuttgart, Germany · Nokia Spain, Madrid

  11. Discovering Collaboration from Novelty: Random Network Distillation for Clustered Federated Learning

    Jun 29, 2026Davide Domini, Gianluca Aguzzi, Ivana Dusparic +2Unsupervised ClusteringNon-IID Federated Learning

    University of Bologna Cesena, Italy · Trinity College Dublin Dublin, Ireland

  12. C2FL: Clustered Continual Federated Learning under Spatial and Temporal Drift

    Jun 16, 2026Davide Domini, Gianluca Aguzzi, Lorenzo Pellegrini +2Federated Learning AggregationFederated Continual Learning

    University of Bologna · Aarhus University

  13. Range Penalization: Theoretical Insights with Applications in Federated Learning

    Jun 9, 2026Yiyuan She, Zhaojun Hu, Yifan SunStatistical Learning TheoryClustered Federated Learning

  14. Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers

    Jun 4, 2026Su Wang, Mung Chiang, H. Vincent PoorCommunication-Efficient Distributed TrainingClustered Federated Learning

    Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA · Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

  15. TITAN-FedAnil+: Trust-Based Adaptive Blockchain Federated Learning for Resource-Constrained Intelligent Enterprises

    Jun 3, 2026Muhammad Hadi, Muhammad Jahangir, Talha Shafique +1Byzantine-Robust Federated LearningNon-IID Federated Learning

    School of Electrical Engineering and Computer Science (SEECS) National University of Sciences and Technology (NUST) Islamabad, Pakistan

  16. 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

  17. FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment

    Jun 1, 2026Nazmus Shakib Shadin, Aaron Cummings, Xinyue Zhang +1Non-IID Federated LearningMulti-Teacher Knowledge Distillation

    Department of Computer Science, Kennesaw State University, Marietta, GA, 30060 USA

  18. Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs

    May 20, 2026Mouhamed Amine Bouchiha, Abdelaziz Amara Korba, Yacine Ghamri-DoudaneByzantine-Robust Federated LearningDecentralized Learning

    SAMOVAR, T´el´ecom SudParis, Paris, France · Department of Computer Science, German University of Technology in Oman (GUtech), Muscat, Oman · L3i, La Rochelle University, La Rochelle, France

  19. 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

  20. 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

  21. CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification

    May 7, 2026Iason Ofeidis, Nikos Papadis, Randeep Bhatia +2IoT Intrusion DetectionNetwork Intrusion Detection

    Yale University, New Haven, CT, USA · Nokia Bell Labs, Murray Hill, NJ, USA

  22. FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning

    Apr 30, 2026Mahad Ali, Laura J. BrattainNon-IID Federated LearningClustered Federated Learning

    University of Central Florida, Orlando FL 32816, USA

  23. Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation

    Apr 22, 2026Jie Xu, Haaris Mehmood, Rogier Van Dalen +2Federated Learning AggregationNon-IID Federated Learning

    Samsung R&D Institute UK (SRUK) · Samsung AI Centre Cambridge

  24. FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning

    Apr 21, 2026Abdulmoneam Ali, Ahmed ArafaClusteringNoisy-Label Learning

    Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, NC 28223, USA

  25. Task-Centric Personalized Federated Fine-Tuning of Language Models

    Mar 30, 2026Gabriel U. Talasso, Meghdad Kurmanji, Allan M. de Souza +2Federated LearningFederated Fine-Tuning

    Universidade Estadual de Campinas · University of Cambridge · Flower Labs

  26. Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering

    Jun 22, 2023Tianyu Zhao, Junping Du, Yingxia Shao +1Federated Learning AggregationClustering

    Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China

  27. 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