Federated Learning Aggregation

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Overview

Federated learning aggregation studies how to combine knowledge from clients that keep their data local, so they can train useful models together. Methods range from FedAvg-style weighted averaging to client weighting, clustering, prototypes, and personalization; newer approaches also align low-rank or function-space updates when model parameters are not directly compatible. Robust filters and trust scores address poisoned or unreliable updates, while secure, asynchronous, and over-the-air aggregation target privacy, delays, and communication costs. No single strategy works best across settings: performance depends on client heterogeneity and participation, and practical designs must trade off accuracy, fairness, security, privacy, and efficiency.

Latest papers

CardsList

270 papers38 papers in the last four weeks, up 15% on the four weeks before. 0.2% of all new papers.

  1. ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning

    Feb 24, 2026Duowen Chen, Yan WangFederated LearningHeterogeneous Federated Learning

    Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University

  2. Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation

    Feb 23, 2026He Zhu, Ren Togo, Takahiro Ogawa +8Medical Report GenerationFederated Learning

    Hokkaido University

  3. Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data

    Feb 22, 2026Junkang Liu, Fanhua Shang, Hongying Liu +3Federated LearningSecond-Order Optimization

    College of Intelligence and Computing, Tianjin University, Tianjin, China · Medical School, Tianjin University, Tianjin, China · Peng Cheng Lab, Shenzhen, China +2

  4. Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Sharing

    Feb 20, 2026Ehsan Lari, Reza Arablouei, Stefan WernerFederated Conformal PredictionFederated Learning Aggregation

    Department of Electronic Systems, Norwegian University of Science and Technology, 7491 Trondheim, Norway · Commonwealth Scientific and Industrial Research Organisation, Pullenvale, QLD 4069, Australia · Department of Information and Communications Engineering, Aalto University, 00076, Finland

  5. PenTiDef: Decentralized Federated Intrusion Detection System with Differential Privacy and Latent-Space Defense via Blockchain Coordination in IIoT

    Feb 20, 2026Phan The Duy, Nghi Hoang Khoa, Nguyen Tran Anh Quan +3Blockchain-Based Federated LearningIoT Intrusion Detection

    Information Security Lab, University of Information Technology, Ho Chi Minh City, Vietnam. · Vietnam National University, Ho Chi Minh City, Vietnam. · VNU-HCM Information Security Center, Ho Chi Minh City, Vietnam.

  6. FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment

    Feb 19, 2026Chuiyang Meng, Ming Tang, Vincent W. S. WongLLM Fine-TuningFederated Fine-Tuning

    The University of British Columbia · Southern University of Science and Technology

  7. U-FedTomAtt: Ultra-lightweight Federated Learning with Attention for Tomato Disease Recognition

    Feb 18, 2026Romiyal George, Sathiyamohan Nishankar, Selvarajah Thuseethan +4Lightweight Neural NetworksFederated Learning

    Department of Computer Engineering, University of Peradeniya, Sri Lanka. · Faculty of Science and Technology, Charles Darwin University, Australia. · Canadian Institute for Cybersecurity, University of New Brunswick, Canada. +1

  8. On the Geometric Coherence of Global Aggregation in Federated Graph Neural Networks

    Feb 17, 2026Chethana Prasad Kabgere, Shylaja SSFederated Graph LearningFederated Learning Aggregation

    Department of Computer Science and Engineering, PES University, Bengaluru, Karnataka, 560085, India

  9. Fractional-Order Federated Learning

    Feb 17, 2026Mohammad Partohaghighi, Roummel Marcia, YangQuan ChenFederated LearningFederated Learning Aggregation

    Electrical Engineering and Computer Science, University of California at Merced, USA · Department of Applied Mathematics, University of California Merced, Merced, CA, USA · Mechatronics, Embedded Systems and Automation (MESA) Lab, Department of Mechanical Engineering, School of Engineering, University of California, Merced, CA 95343, USA

  10. FedPSA: Modeling Behavioral Staleness in Asynchronous Federated Learning

    Feb 17, 2026Chaoyi Lu, Yiding Sun, Zhichuan Yang +3Asynchronous Federated LearningFederated Learning Aggregation

  11. SCENE OTA-FD: Self-Centering Noncoherent Estimator for Over-the-Air Federated Distillation

    Feb 17, 2026Hao Chen, Zavareh BozorgaslFederated Learning AggregationOver-the-Air Federated Learning

    Department of Electrical and Computer Engineering, Boise State University, Boise, ID 83712 USA.

  12. pFedNavi: Structure-Aware Personalized Federated Vision-Language Navigation for Embodied AI

    Feb 16, 2026Qingqian Yang, Hao Wang, Sai Qian Zhang +6Federated Learning AggregationNon-IID Federated Learning

    Stevens Institute of Technology · Hoboken, NJ, USA · New York University +9

  13. ERIS: Enhancing the Privacy-Utility-Scalability Trade-Off in Federated Learning via Federated Shard Aggregation

    Feb 9, 2026Dario Fenoglio, Pasquale Polverino, Akash Dhasade +3Federated LearningFederated Learning Aggregation

    Universit`a della Svizzera italiana Lugano, Switzerland · Carnegie Mellon University Pittsburgh, PA, United States

  14. Mechanistic Evidence for Preserved-but-Misaligned Representations in Non-IID FedAvg

    Dec 28, 2025Muhammad Haseeb, Salaar Masood, Muhammad Abdullah Sohail +2Federated Learning AggregationNon-IID Federated Learning

    Department of Computer Science, Lahore University of Management Sciences, Lahore, Pakistan.

  15. FedVideoMAE: Efficient Federated Video Moderation with Differential Privacy and Secure Aggregation

    Dec 21, 2025Ziyuan Tao, Chuanzhi Xu, Sandaru Jayawardana +4Federated Learning AggregationVideo Content Moderation

    School of Computing, Macquarie University, Sydney, Australia · School of Computer Science, The University of Sydney, Sydney, Australia · School of Electrical and Computer Engineering, The University of Sydney, Sydney, Australia

  16. Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing

    Dec 3, 2025Seyed Mohammad Azimi-Abarghouyi, Carlo Fischione, Kaibin HuangFederated Learning AggregationCommunication-Efficient Distributed Training

    School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden · Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China

  17. A Byzantine-Robust Federated Learning with Nesterov Momentum

    Nov 4, 2025Lihan Xu, Xiaoyi Fan, Gang Wang +3Federated Learning AggregationByzantine-Robust Federated Learning

    School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China. · the Artificial Intelligence Research Institute and Guangdong-Hong Kong-Macao Joint Laboratory for Emotional Intelligence and Pervasive Computing, Shenzhen MSU-BIT University, Shenzhen 518172, China. · the State Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing 100081, China.

  18. Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning

    Nov 1, 2025Baris Askin, Holger R. Roth, Zhenyu Sun +3Asynchronous Federated LearningFederated Learning Aggregation

    Carnegie Mellon University · NVIDIA · Northwestern University

  19. FedHUG: Federated Heterogeneous Unsupervised Generalization for Remote Physiological Measurements

    Oct 14, 2025Xiao Yang, Dengbo He, Duoxun Tang +2Federated Domain GeneralizationFederated Learning

    Systems Hub, the Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

  20. FedIA: Importance-Aware Aggregation for Domain-Robust Federated Graph Learning

    Sep 17, 2025Zhanting Zhou, Zeyu Ma, Ziqiang Zheng +1Federated Learning AggregationDomain Generalization

    University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China

  21. FedDAF: Federated Domain Adaptation Using Model Functional Distance

    Sep 15, 2025Mrinmay Sen, Sidhant Nair, C Krishna MohanFederated Learning AggregationDomain Adaptation

    Department of Artificial Intelligence, Indian Institute of Technology Hyderabad, Hyderabad, 502285, Telangana, India. · Department of Mechanical Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, Delhi, India.

  22. FedUHD: Unsupervised Federated Learning using In-Memory Hyperdimensional Computing

    Aug 16, 2025You Hak Lee, Keming Fan, Xiaofan Yu +4Compute-in-MemoryFederated Learning Aggregation

    University of California San Diego, USA

  23. 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

  24. 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

  25. 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

  26. Approaching the Harm of Gradient Attacks While Only Flipping Labels

    Feb 28, 2025Abdessamad El-Kabid, El-Mahdi El-MhamdiFederated Learning AggregationAdversarial Attacks

    École Polytechnique

  27. 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

  28. Byzantine-Robust Aggregation for Securing Decentralized Federated Learning

    Sep 26, 2024Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +1Federated Learning AggregationByzantine-Robust Federated Learning

    atlanTTic Research Center – ICLAB – Universidade de Vigo, Vigo, 36310, Spain

  29. 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

  30. 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