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. ORDERS: An Empirical Study of Norm-Rank Aggregation for Personalized Federated Learning

    Oct 7, 2026Koffka KhanFederated LearningFederated Learning Aggregation

    Department of Computing and Information Technology, Faculty of Science and Technology, The University of the West Indies, St. Augustine, Trinidad and Tobago

  2. FedSSMCoOp: SSM Encoders for light-weight Federated Prompt Learning for Few-shot Classification

    Oct 7, 2026Ankita Das, Ambarish Parthasarathy, Sumohana S. Channappayya +1Few-Shot Image ClassificationMultimodal Federated Learning

    Department of Computer Science and Engineering Indian Institute of Technology Hyderabad · Department of Artificial Intelligence Indian Institute of Technology Hyderabad · Department of Electrical Engineering Indian Institute of Technology Hyderabad

  3. FedRSPO+: A Heterogeneity-aware Algorithm for Decision-focused Federated Learning

    Oct 6, 2026Konstantinos Ziliaskopoulos, Alexander Vinel, Jiaqi WangDecision-Focused LearningFederated Learning

    Auburn University

  4. FedDermaSeg: Federated Learning for Dermatological Image Segmentation

    Oct 6, 2026Anabik Pal, Ganesh Patidar, Bikash SantraMedical Image SegmentationSkin Lesion Segmentation

    Department of Computer Science, Indian Institute of Science Education and Research Berhampur, India · Department of Mathematics, Indian Institute of Technology Jodhpur, India · School of Artificial Intelligence and Data Science, Indian Institute of Technology Jodhpur, India

  5. Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins

    Oct 6, 2026Damini RijhwaniHealthcareDifferentially Private Federated Learning

    Automation Core Inc., Cambridge, MA, USA

  6. HE-OFT: Privacy-Preserving One-Shot Federated Fine-Tuning under Homomorphic Encryption

    Oct 6, 2026Halil İbrahim Kanpak, Sinem Sav, Alptekin KüpçüPrivacy-Preserving MLFederated Fine-Tuning

    Department of Computer Engineering, Kocı University, İstanbul, Türkiye · Department of Computer Engineering, Bilkent University, Ankara, Türkiye

  7. Tram-FL: Reducing Communication and Computation Costs through Sequential Model Circulation in Decentralized Federated Learning

    Oct 6, 2026Kota Maejima, Takayuki Nishio, Asato Yamazaki +1Communication-Efficient Distributed TrainingFederated Learning

    School of Engineering, Institute of Science Tokyo, Tokyo 152-8550, Japan

  8. Fed-BRDECS: Privacy-Preserving and Heterogeneity-Aware Federated Deep Embedded Clustering

    Oct 5, 2026Haemin Park, Diego Klabjan, Martin W. Braun +2ClusteringDeep Clustering

    Northwestern University · Intel Corporation

  9. Efficient Secure Federated Learning via Information-Theoretically Secure Key Distribution: A Medical Imaging Case Study

    Oct 5, 2026Ivan Donà, Hans H. Brunner, Álvaro Troyano Olivas +3Federated Learning AggregationFederated Learning

    University of Trento Trento, Italy · Huawei Technologies Duesseldorf Munich, Germany · Universidad Politécnica de Madrid Madrid, Spain

  10. Pay to Learn, Share to Earn: Incentivized Federated Multi-Player Bandits

    Oct 5, 2026Pavamana K J, Chandramani SinghMulti-Armed BanditsUCB Algorithms

    Indian Institute of Science, Bengaluru, India

  11. Large Stepsizes Federated Learning on Logistic Regression with Linearly Separable Data: The Case of Heterogeneous Devices

    Oct 5, 2026Hok Fong Wong, Hoi-To Wai, Chung-Yiu YauLogistic RegressionFederated Learning Aggregation

    Department of CSE, The Chinese University of Hong Kong, Hong Kong SAR · Department of SEEM, The Chinese University of Hong Kong, Hong Kong SAR · Department of ECE, University of Minnesota, Minnesota, USA

  12. When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data

    Oct 4, 2026Ahmadreza Eslaminia, Klara Nahrstedt, Chenhui ShaoClass-Incremental LearningFederated Continual Learning

    Coordinated Science Laboratory University of Illinois Urbana-Champaign · Dept. of Mechanical Engineering University of Michigan

  13. Distributed Subliminal Learning: Replacing Model Updates with Random-Carrier Outputs

    Oct 4, 2026Dario Fenoglio, Gabriele Dominici, Martin Gjoreski +1Communication-Efficient Distributed TrainingFederated Knowledge Distillation

    Università della Svizzera italiana (USI), Lugano, Switzerland · MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA

  14. Fast Convergence through Distributed Augmentation for Class-Imbalanced Federated Learning

    Oct 4, 2026Arathi Nair M, J. Harshan, Anwitaman DattaClass-Imbalanced LearningData Augmentation

    Amar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, India · Department of Electrical Engineering, Indian Institute of Technology Delhi, India · College of Computing and Data Science, Nanyang Technological University, Singapore

  15. Distributed Learning with Selective State Space Models: Architecture-Aware Convergence Analysis

    Oct 2, 2026Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang +1Selective SSMsFederated Learning

    Purdue University · University of Colorado Colorado Springs · University of Exeter

  16. vFedProtoQNAS: Prototype-Guided Personalized Quantum Neural Architecture Search for Virtual Federated Learning

    Oct 1, 2026Seok Bin Son, Samuel Yen-Chi Chen, Soohyun Park +1Quantum Machine LearningQuantum Neural Networks

    Korea University Seoul, Korea · Wells Fargo New York, USA · Sookmyung Women’s University Seoul, Korea

  17. FedSAP: Federated Learning with Structured Adaptive Partitioning for Multi-Domain Heterogeneous Edge Devices

    Oct 1, 2026Wentao Yue, Tianyou Lai, Hongji Li +2Non-IID Federated LearningStructured Pruning

  18. Beyond Domain-Level Adaptation: Margin-Oriented Semantic-Appearance Interaction Correction for Personalized Federated Vision-Language Models

    Oct 1, 2026Wentao Yue, Qingyu Mao, Tianyou Lai +2VLM AdaptationFederated Fine-Tuning

  19. FedLore: Communication and Memory Efficient Federated Learning via Shared Gradient Low-Rank Projection

    Oct 1, 2026Junkang LiuFederated Learning AggregationMemory-Efficient Fine-Tuning

    Tianjin University

  20. FedFit: Federated Fine-Tuning of LLMs via Vector-Bank Parameterization and Quantization

    Oct 1, 2026Hang Zou, Chao Zhang, Yuzhi Yang +3Federated Learning AggregationLow-Rank Adaptation

    6G Research Center, Khalifa University, 127788 Abu Dhabi, UAE · Department of Computer Science, Central South University, 410083, Changsha, China · Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France

  21. FedMIX-P: Mixing Local and Global Preconditioners for Federated Vision and Language Model Training

    Oct 1, 2026Junkang LiuFederated LearningHeterogeneous Federated Learning

    Tianjin University

  22. FedCKA: Representation-Guided Layer Personalization for Federated 3D Perception Across Driving Domains

    Oct 1, 2026Jolle Verhoog, Ali Burak Ünal, Holger CaesarDomain Generalization3D Object Detection

    faculty of Cognitive Robotics, Mechanical Engineering, TU Delft, Delft, Netherlands

  23. Federated Learning for LLMs over Mobile Networks: Issues and Solutions in the RAN Transport

    Oct 1, 2026Emilio Paolini, Andrea Pinto, Flavio Esposito +1Federated Learning AggregationAsynchronous Federated Learning

    Tecip Institute, Scuola Superiore Sant’Anna, Pisa, Italy · Computer Science Department, Saint Louis University, St. Louis, USA

  24. Federated Agent Optimization

    Oct 1, 2026Qiang Yang, Zhiqiang Kou, Xueyi Zhang +6LLM Agent TrainingFederated Learning

    The Hong Kong Polytechnic University, Hong Kong SAR, China · National University of Singapore, Singapore · The University of Tokyo, Japan +2

  25. Latent Information Sharing for Accelerating Federated Learning

    Oct 1, 2026Seungjun Lee, Ensieh Khazaei, Dimitrios Hatzinakos +2Federated Learning AggregationFederated Learning

    Inha University · University of Toronto · University of Birmingham

  26. FedMAD: Modulation-Aware Directional Aggregation for Federated Learning in Remote Sensing Image Classification

    Sep 30, 2026Barış Büyüktaş, Begüm DemirRemote Sensing Image UnderstandingFederated Learning Aggregation

    Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin, 10587 Berlin, Germany · BIFOLD - Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany

  27. Unapologetically Distributed: A Call for Decentralized Document Analysis

    Sep 30, 2026Adrià Molina, Oriol Ramos Terrades, Josep LladósOOD GeneralizationDecentralized Learning

    Centre de Visió per Computador Universitat Autònoma de Barcelona Bellaterra, Catalonia · Computer Science Department Universitat Autònoma de Barcelona, Bellaterra, Catalonia

  28. Beyond Uniform Compression: Budgeted Transmission Allocation for Extreme Federated Learning

    Sep 30, 2026Pengfei Li, Mohammad KhalilCommunication-Efficient Distributed TrainingLow-Rank Compression

    Centre for the Science of Learning & Technology (SLATE), University of Bergen, Bergen, Norway

  29. Cybersecurity in Edge Computing: A Trust-Aware Federated Hybrid Intrusion Detection Framework

    Sep 30, 2026Zawad Yalmie Sazid, Robert AbbasFederated Learning AggregationByzantine-Robust Federated Learning

    Victoria University, Sydney, Australia

  30. Understanding Head Geometry and Dynamics in Federated Regression through a Natural Solution Selection Rule: An Unconstrained Feature Model Analysis

    Sep 30, 2026Chuang Ma, Tomoyuki ObuchiFederated Learning AggregationFederated Learning

    Kyoto University · NII LLMC · RIKEN AIP