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. VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems

    May 7, 2026Mohamed Lakas, Mohamed Amine FerragIoT Intrusion DetectionClient Selection in Federated Learning

    College of Information Technology, United Arab Emirates University, UAE

  2. Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning

    May 7, 2026Myoungjun Kim, Sangwoo Park, Yoseob Han +1Federated Learning AggregationLow-Rank Adaptation

    Myongji University · King’s College London · Soongsil University

  3. Enabling Federated Inference via Unsupervised Consensus Embedding

    May 7, 2026Yui Hashimoto, Takayuki Nishio, Yuichi Kitagawa +1Ensemble LearningPrivacy-Preserving ML

    School of Engineering, Institute of Science Tokyo, Tokyo 152-8550, Japan · Research & Development Group, Hitachi Ltd., Tokyo 185-8601, Japan

  4. FedeKD: Energy-Based Gating for Robust Federated Knowledge Distillation under Heterogeneous Settings

    May 7, 2026Quang-Huy Nguyen, Jiaqi Wang, Wei-shinn KuFederated Knowledge DistillationKnowledge Distillation

    Department of Computer Science and Software Engineering Auburn University Auburn, AL 36849

  5. A Simulated Federated Analysis of MS-Induced Brain Lesions

    May 6, 2026Evelyn Trautmann, Joël Federer-Gsponer, Markus C. Elze +1Federated Learning

    Apheris AI GmbH · F. Hoffmann-La Roche Ltd.

  6. Federated Learning for Early Prediction of EV Charging Demand

    May 6, 2026Vasilis Perifanis, Foteini Nikolaidou, Nikolaos Pavlidis +2Electric Vehicle ChargingSpatiotemporal Forecasting

    Indigma Innovations

  7. Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity

    May 6, 2026Junxiang Wu, Zhiqiang Kou, Hongwei Zeng +7Federated Learning AggregationLabel Distribution Learning

    School of Computer Science and Engineering, Southeast University, Nanjing, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China · University of the Chinese Academy of Sciences, China +3

  8. Knowledge-Free Correlated Agreement for Incentivizing Federated Learning

    May 6, 2026Leon Witt, Togrul Abbasli, Kentaroh Toyoda +2Federated Learning

    SIMIS Shanghai Shanghai, China · Tsinghua University Beijing, China · Keio University Yokohama, Japan +1

  9. FL-Sailer: Efficient and Privacy-Preserving Federated Learning for Scalable Single-Cell Epigenetic Data Analysis via Adaptive Sampling

    May 6, 2026Guangyi Zhang, Yi Dai, Yiyun He +1Federated LearningHeterogeneous Federated Learning

    Department of Computer Science, University of California, Irvine · Department of Mathematics, University of California, San Diego

  10. DeFed-GMM-DaDiL: A Decentralized Federated Framework for Domain Adaptation

    May 5, 2026Rebecca Clain, Eduardo Fernandes Montesuma, Fred Ngole MboulaMulti-Source Domain AdaptationDomain Adaptation

    Universit´e Paris-Saclay, CEA, List, F-91120 Palaiseau, France · Sigma Nova

  11. Generalized Category Discovery in Federated Graph Learning

    May 5, 2026Zhongzheng Yuan, Lianshuai Guo, Xunkai Li +2Federated Graph LearningFederated Learning

    Shandong University, School of Airspace Science and Engineering, Weihai 264209, China · Beijing Institute of Technology, School of Computer Science and Technology, Beijing 100081, China

  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. Distributed Deep Variational Approach for Privacy-preserving Data Release

    May 4, 2026Zahir Alsulaimawi, Huaping LiuInformation BottleneckPrivacy-Preserving ML

  14. MuCALD-SplitFed: Causal-Latent Diffusion for Privacy-Preserving Multi-Task Split-Federated Medical Image Segmentation

    May 4, 2026Chamani Shiranthika, Hadi Hadizadeh, Parvaneh SaeediLatent Diffusion ModelsSplit Federated Learning

    School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada

  15. Federated Reinforcement Learning for Efficient Mobile Crowdsensing under Incomplete Information

    May 4, 2026Sumedh J. Dongare, Patrick Weber, Andrea Ortiz +3Federated RLDecentralized MARL

    Communications Engineering Lab at the Technical University of Darmstadt, Germany · Chair of Information Systems and Information Management at the Goethe University Frankfurt, Germany · Institute of Telecommunications at the Vienna University of Technology, Austria

  16. Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning

    May 4, 2026Judith Sáinz-Pardo Díaz, Álvaro López GarcíaPrivacy-Preserving MLDifferentially Private Federated Learning

  17. Graph Federated Unlearning for Privacy Preservation

    May 4, 2026Ruotong Ma, Wentao Yu, Qizhou Wang +2Federated UnlearningFederated Graph Learning

    Shanghai Jiao Tong University · Nanjing University of Science and Technology · Hong Kong Baptist University China

  18. Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning

    May 4, 2026Shihao Hou, Chikai Shang, Zhiheng Yang +5Class-Imbalanced LearningFine-Tuning

    Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China · Department of Statistical Science, University College London, London, United Kingdom · School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China

  19. Privacy-Preserving Federated Learning: Integrating Zero-Knowledge Proofs in Scalable Distributed Architectures

    May 4, 2026Divya GuptaByzantine-Robust Federated LearningPrivacy-Preserving ML

    Independent Researcher Hyderabad, India

  20. Personalized Federated Learning for Gradient Alignment

    May 4, 2026Dongwon Kim, Gyuejeong LeeFederated Learning AggregationNon-IID Federated Learning

    SAKAK Inc., Korea · Div. of Artificial Intelligence and Data Science, Korea Cyber University, Korea

  21. FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training

    May 4, 2026Yijiang Li, Emon Dey, Zilinghan Li +3Federated Learning AggregationHigh-Performance Computing

    Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA · Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, USA

  22. Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery

    May 4, 2026Wenwei Zhao, Xiaowen Li, Yao Liu +1Federated UnlearningMachine Unlearning

    Department of Electrical Engineering, University of South Florida,Tampa, FL, USA · Bellini College, University of South Florida, Tampa, FL, USA

  23. Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction

    May 3, 2026G. Victor DanielGraph Neural NetworksPrivacy-Preserving ML

    School of Engineering, Anurag University, Hyderabad, Telangana, India

  24. Toward Resilient 5G Networks: Comparative Analysis of Federated and Centralized Learning for RF Jamming Detection

    May 3, 2026Samhita Kuili, Mohammadreza Amini, Burak KantarciWireless CommunicationsPrivacy-Preserving ML

    School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

  25. EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure

    May 1, 2026Zihao Ding, Beining Wu, Jun HuangCross-Modal LearningMultimodal Federated Learning

    Department of Electrical Engineering and Computer Science South Dakota State University Brookings, SD 57007, USA

  26. FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization

    May 1, 2026Zoe Fowler, Ghassan AlRegibFederated Learning AggregationCross-Domain Generalization

    Georgia Institute of Technology

  27. Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration

    May 1, 2026Luru Jing, Cong Cong, Yanyuan Chen +1Computational PathologyDataset Distillation

    School of Computer Science, Peking University, Beijing, China · Center for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW 2113, Australia · School of Data Science, University of Virginia, Charlottesville, VA, USA.

  28. Scaling Federated Linear Contextual Bandits via Sketching

    May 1, 2026Hantao Yang, Hong Xie, Xutong Liu +1Communication-Efficient Distributed TrainingContextual Bandits

    University of Science and Technology of China · University of Washington Tacoma

  29. Federated Learning with Hypergradient-based Online Update of Aggregation Weights

    May 1, 2026Ayano Nakai-Kasai, Tadashi WadayamaFederated Learning AggregationNon-IID Federated Learning

    Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi 466-8555, Japan

  30. 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