Federated Learning

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Overview

Federated learning studies how multiple devices or institutions can train models collaboratively while keeping data local, for example across hospitals, phones, or companies. A common approach, FedAvg, aggregates local model updates; related methods use personalization or client clustering, split learning, model compression, and lightweight adapters such as LoRA. Differential privacy and secure aggregation can limit exposure of updates, while robust aggregation and client-selection methods address malicious participants and uneven data or resources. The central challenge is balancing accuracy and fairness across heterogeneous clients with privacy, security, communication cost, and reliable evaluation; keeping data local alone does not guarantee privacy or strong performance.

Latest papers

CardsList

961 papers112 papers in the last four weeks, up 1% on the four weeks before. 0.6% of all new papers.

  1. 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

  2. HybridFL: A Federated Learning Approach for Financial Crime Detection

    Feb 22, 2026Afsana Khan, Marijn ten Thij, Guangzhi Tang +1Anti-Money LaunderingFederated Learning

    Department of Advanced Computing Sciences, Maastricht University, Netherlands · Department of Cognitive Science and Artificial Intelligence, Tilburg University, Netherlands

  3. FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessment

    Feb 22, 2026Takato YasunoMarkov ChainsStructural Health Monitoring

    1Yachiyo Engineering Co., Ltd., Tokyo, Japan

  4. PrivacyBench: Privacy Isn't Free in Hybrid Privacy-Preserving Vision Systems

    Feb 21, 2026Nnaemeka Obiefuna, Samuel Oyeneye, Similoluwa Odunaiya +2Privacy-Preserving MLDifferential Privacy

    1ML Collective · 2Friedrich-Alexander-Universität Erlangen-Nürnberg · 3Carnegie Mellon University

  5. Federated Measurement of Demographic Disparities from Quantile Sketches

    Feb 21, 2026Arthur Charpentier, Agathe Fernandes Machado, Olivier Côté +1Group FairnessFederated Learning

    UQAM, Montréal, Canada · Kyoto University, Japan · Université Laval, Québec, Canada +2

  6. Communication-Efficient Personalized Adaptation via Federated-Local Model Merging

    Feb 20, 2026Yinan Zou, Md Kamran Chowdhury Shisher, Christopher G. Brinton +1Federated LearningFederated Fine-Tuning

    Elmore Family School of Electrical and Computer Engineering, Purdue University.

  7. 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

  8. FedZMG: Efficient Client-Side Optimization in Federated Learning

    Feb 20, 2026Fotios Zantalis, Evangelos Zervas, Grigorios KoulourasFederated LearningNon-IID Federated Learning

    TelSiP Research Laboratory, Department of Electrical and Electronic Engineering, School of Engineering, University of West Attica, Ancient Olive Grove Campus, 250 Thivon Str., GR-12241 Athens, Greece

  9. 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.

  10. Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning

    Feb 19, 2026Obaidullah Zaland, Zulfiqar Ahmad Khan, Monowar BhuyanFederated LearningFederated Continual Learning

    Department of Computing Science, Umeå University, Umeå, SE-90187, Sweden

  11. A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN

    Feb 19, 2026Asif Hasan Chowdhury, Md. Fahim Islam, M Ragib Anjum Riad +3Medical DiagnosisChest X-Ray Classification

    BRAC University, Dhaka-1212, Bangladesh

  12. 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

  13. 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

  14. Towards Secure and Scalable Energy Theft Detection: A Federated Learning Approach for Resource-Constrained Smart Meters

    Feb 18, 2026Diego Labate, Dipanwita Thakur, Giancarlo FortinoFederated LearningAnomaly Detection

    DIMES, University of Calabria, Rende, Italy

  15. Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation

    Feb 17, 2026Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy +7Federated Learning

    Basic Research of Artificial Intelligence Laboratory (BRAIn Lab) · Federated Learning Problems Laboratory · Innopolis University +4

  16. Evaluating Federated Learning for Cross-Country Mood Inference from Smartphone Sensing Data

    Feb 17, 2026Sharmad Kalpande, Saurabh Shirke, Haroon R. LoneFederated LearningEmotion Recognition

    Indian Institute of Science Education and Research Bhopal, India

  17. 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

  18. Exploiting Layer-Specific Vulnerabilities to Backdoor Attack in Federated Learning

    Feb 16, 2026Mohammad Hadi Foroughi, Seyed Hamed Rastegar, Mohammad Sabokrou +1Backdoor AttacksBackdoor Attacks in Federated Learning

    School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran. · School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran. · School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran. +1

  19. Breaking Data Efficiency Dilemma: A Federated and Augmented Learning Framework For Alzheimer's Disease Detection via Speech

    Feb 16, 2026Xiao Wei, Bin Wen, Yuqin Lin +5Speech-Based Dementia DetectionData-Efficient Learning

    Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China · College of Computer and Data Science, Fuzhou University, Fuzhou, China +1

  20. 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

  21. Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability

    Feb 13, 2026Ayse Tursucular, Ayush Mohanty, Nazal Mohamed +1Federated LearningNonlinear System Identification

    Georgia Institute of Technology Atlanta, GA, USA

  22. FedPS: Federated Preprocessing for structured data via aggregated Statistics

    Feb 11, 2026Xuefeng Xu, Graham CormodeFederated Learning

    Department of Computer Science University of Warwick · Department of Computer Science University of Oxford

  23. 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

  24. An Adaptive Differentially Private Federated Learning Framework

    Feb 6, 2026Jin Wang, Hui Ma, Yajun Zhang +4Non-IID Federated LearningDifferentially Private Federated Learning

    Xinjiang Key Laboratory of Intelligent Computing and Smart Applications, School of Software, Xinjiang University, Urumqi 830017, China · College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, China · Jilin University, Changchun 130012, China

  25. Temperature Scaling Attack Disrupting Model Confidence in Federated Learning

    Feb 6, 2026Kichang Lee, Jaeho Jin, JaeYeon Park +2Adversarial AttacksFederated Learning

    Yonsei University · Dankook University

  26. Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations

    Jan 29, 2026Baris Askin, Shivam Patel, Anupam Nayak +4LLM RoutingFederated Learning

    Carnegie Mellon University.

  27. Spatiotemporal Continual Federated Learning for Agentic Multi-UAV Edge Networks: Mitigating Catastrophic Forgetting

    Jan 29, 2026Chuan-Chi LaiMulti-Objective Reinforcement LearningFederated RL

    Department of Communications Engineering, National Chung Cheng University, Minxiong Township, Chiayi County 621301, Taiwan · Advanced Institute of Manufacturing with High-tech Innovations (AIM-HI), National Chung Cheng University, Minxiong Township, Chiayi County 621301, Taiwan

  28. Knowledge-Aware Evolution for Task-Free Streaming Federated Continual Learning with Arbitrary Class Overlap

    Jan 27, 2026Sixing Tan, Xianmin LiuContinual LearningFederated Continual Learning

    Faculty of Computing Harbin Institute of Technology

  29. Variance Reduction for Stochastic Switching in Functionally Constrained Federated Optimization

    Jan 23, 2026Antesh Upadhyay, Sang Bin Moon, Zhankun Luo +1Federated LearningStochastic Optimization

    School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA

  30. 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