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. Perplexity Predicts Protection: Choosing Pretrained Backbones for Worst-Client Fairness in Federated Parameter-Efficient Fine-Tuning

    Sep 20, 2026Kiran Naseer, Samreen Azhar, Umar Shoaib +2Federated Fine-TuningFederated Learning

    Department of Computer Science, University of Gujrat, Gujrat, Pakistan · Department of Cybersecurity, College of Engineering, Al Ain University, Al Ain, UAE · Department of Computer Science, College of Computer, Qassim University, Qassim 52571, Saudi Arabia

  2. Multi-center Medical Data Mining with FL-Net - A One-stop Shop for Federated Learning

    Sep 17, 2026Simon Süwer, Julian Klemm, Elisa Acitelli +38Privacy-Preserving MLFederated Learning

  3. Distributionally Robust Federated Learning with Multi-Source Data

    Sep 17, 2026Yingzhu Liu, Zhongkui Li, Pengcheng You +1Distributionally Robust OptimizationNon-IID Federated Learning

    Department of Control Science and Systems Engineering, Peking University, Beijing, China. · Engineering and Technology Institute Groningen and the Jan C. Willems Center for Systems and Control, University of Groningen, The Netherlands.

  4. Accelerating Sharded Data Parallelism at Scale with Federated Learning

    Sep 17, 2026Gianluca Mittone, Marco AldinucciCommunication-Efficient Distributed TrainingHigh-Performance Computing

    University of Turin, Turin, Italy

  5. QoS-Aware Federated Learning for Multimodal In-Cabin Interaction in Smart Vehicles

    Sep 17, 2026Baran Can Gül, Mert Nakıp, Nasser Jazdi +1Multimodal Federated LearningAsynchronous Federated Learning

    Institute of Industrial Automation and Software Engineering, University of Stuttgart, Pfaffenwaldring 47, 70550 Stuttgart, Germany · Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (IITIS PAN), 44-100 Gliwice, Poland · Ideatrum Ltd. Sti., 35560, İzmir, Türkiye

  6. Efficiently Distributed Federated Learning

    Sep 17, 2026Gianluca Mittone, Robert Birke, Marco AldinucciDistributed TrainingFederated Learning

    Computer Science Department, University of Turin, Turin, Italy

  7. Federated Learning Framework for Privacy-Preserving Kidney Stone Detection

    Sep 17, 2026Najiyya Younas, Omar Abdulkader, Yaser Ali Shah +3Medical ImagingPrivacy-Preserving ML

    Department of Computer Science, COMSATS University Islamabad, Attock Campus, Attock 43600, Pakistan · Faculty of Computer Studies, Arab Open University, Riyadh, Saudi Arabia · Department of Artificial Intelligence, Kyungdong University Global, Toseong-myeon 24764, South Korea. +1

  8. FedFIbOS: Fisher Importance based Optimal Submodelling for Heterogeneous Federated Learning

    Sep 17, 2026Yasmeen Afzal, Jeremiah D. Deng, Haibo ZhangNon-IID Federated LearningFederated Learning

    School of Computing, University of Otago, New Zealand · School of Computer Science and Engineering, University of New South Wales, Australia

  9. Personalized Federated Hierarchical Gaussian Processes for Privacy-Preserving Modeling of Heterogeneous Distributed Systems

    Sep 16, 2026Xianjian Xie, Hao YanGaussian ProcessesFederated Learning

    Arizona State University

  10. Federated Soft Clustering via Generalized Total Variation Minimization

    Sep 16, 2026Shamsiiat Abdurakhmanova, Alexander JungGaussian Mixture ModelsNon-IID Federated Learning

    Department of Computer Science, Aalto University, Espoo, Finland

  11. FedPGT: Progressive Gradient Transmission for Vehicular Federated Learning over Time-Varying Channels

    Sep 16, 2026Jintao Yan, Tan Chen, Yuxuan Sun +2Communication-Efficient Distributed TrainingOnline Resource Allocation

    Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. · School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.

  12. Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation

    Sep 15, 2026Polycarpo Souza Neto, José Mairton Barros da Silva Júnior, Charles Casimiro CavalcanteFederated Knowledge DistillationNon-IID Federated Learning

    Universidade Federal do Cear´a, Fortaleza, CE, Brazil · Uppsala University, Uppsala, Sweden

  13. Decentralized Gossip Learning and Federated Averaging for Histopathology Image Classification

    Sep 15, 2026Yusuf Ozturk, Bengisu Atli, Enes Goktekin +2Federated Learning AggregationNon-IID Federated Learning

    Antalya Bilim University, Electrical and Electronics Engineering Dep. Antalya, Türkiye · Antalya Bilim University, Computer Engineering Dep. Antalya, Türkiye · Ankara University, Graduate School of Natural and Applied Sciences, Ankara, Türkiye +1

  14. Adaptive Bayesian Partner Selection for Federated Clinical Centers

    Sep 15, 2026Navid Seidi, Satyaki Roy, Sajal K. DasHealthcareCommunication-Efficient Distributed Training

    Department of Computer Science Missouri University of Science and Technology Rolla, MO, USA · Department of Mathematical Sciences University of Alabama in Huntsville Huntsville, AL, USA

  15. Certified Uncertainty Propagation in One-Shot Federated Bayesian Models via Posterior Event Transport

    Sep 14, 2026Mahyar Mohammadi, Mohammad Hossein Badiei, Abolfazl Yaghmaei +1Bayesian Neural NetworksNeural Network Verification

    School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, 1417614411, Iran · School of Computer Science, Institute for Research in Fundamental Sciences (IPM), P.O. Box 19395-5746, Tehran, Iran

  16. Federated stochastic bilevel optimization with fully first-order gradients

    Sep 14, 2026Yihan Zhang, Rohit Dhaipule, Chiu C Tan +2Stochastic OptimizationBilevel Optimization

    1Temple University · 2Stony Brook University

  17. Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication

    Sep 14, 2026Yilin Xu, Chun Hei Michael Shiu, Chih Wei Ling +1Communication-Efficient Distributed TrainingDifferentially Private Federated Learning

    Department of Computer Science, City University of Hong Kong · Department of Electrical and Computer Engineering, University of British Columbia · School of Computer Science and Engineering, Hebrew University of Jerusalem

  18. SWB-DM: A Calibrated Sliced-Wasserstein-Barycenter Aggregator with Delayed-Momentum Caching for Byzantine-Robust Federated Learning under Partial Participation

    Sep 14, 2026Saranraj S, Saranya M S, Alex David S +1Federated Learning AggregationByzantine-Robust Federated Learning

    Department of AIML Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai, India · Assistant Professor, Department of AIML Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai, India · Professor, Department of AIML Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai, India

  19. Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning

    Sep 14, 2026Yuxuan Sun, Yuxuan Bai, Tan Chen +2Client Selection in Federated LearningFederated Continual Learning

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · Department of Electronic Engineering, Tsinghua University, Beijing 100084, China, and the Beijing National Research Center for Information Science and Technology

  20. Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis

    Sep 14, 2026Bassel Soudan, Sohail Abbas, Ahmed Kubba +2Federated Learning

    Department of Computer Engineering College of Computing and Informatics University of Sharjah Sharjah, UAE · Department of Computer Science College of Computing and Informatics University of Sharjah Sharjah, UAE

  21. FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning

    Sep 14, 2026Changkun Lin, Junxiao WangClass-Imbalanced LearningNon-IID Federated Learning

    Guangzhou University, China

  22. End-to-End Verifiable and Robust Federated Learning

    Sep 14, 2026Doryan Lesaignoux, Enrique Mármol Campos, Gabriele Spini +2Federated Learning AggregationByzantine-Robust Federated Learning

    AIT Austrian Institute of Technology · Vienna, Austria · Department of Computer Engineering +2

  23. Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning

    Sep 14, 2026Ting Xu, Henry LeungFederated Learning AggregationByzantine-Robust Federated Learning

    Department of Biomedical Engineering University of Calgary Calgary, Canada

  24. A Differentially Private Federated Proximal Optimization Framework for Customer Churn Prediction in Heterogeneous Federated Telecom Networks

    Sep 14, 2026Joydeb Kumar Sana, Subrata Chakraborty, M M Manjurul IslamDifferentially Private Federated LearningTabular Prediction

    Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh · School of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, NSW, Australia · Intelligent Systems Research Centre, Ulster University, Londonderry BT48 7JL, UK

  25. High-Probability Convergence of SGD via Batched Updates

    Sep 14, 2026Feng Zhu, Robert W. Heath Jr., Aritra MitraCommunication-Efficient Distributed TrainingStochastic Optimization Convergence

  26. MPT: Missing Prototype Tracking via Barycentric Reconstruction in Vehicular Federated Learning

    Sep 14, 2026Hanju Jang (Yonsei University), Gyeongmin Han (Yonsei University), Sungmin Lee (Yonsei University) +3Long-Tailed ClassificationFederated Learning

    School of Integrated Technology, Yonsei University, Republic of Korea · Toyota Motor Corporation, Japan

  27. Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning

    Sep 14, 2026Satwat Bashir, Tasos DagiuklasWireless CommunicationsFederated Learning

    Department of Computer Science London South Bank University London, UK

  28. Modality-Decoupled Federated Learning for Privacy-Preserving Embodied Intelligence in 6G

    Sep 10, 2026Zhuodong Liu, Xiangyu Li, Chunhong Yuan +5Multimodal Federated LearningWireless Communications

    Artificial Intelligence Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511453, China · Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China · School of Electronic Science and Technology, Eastern Institute of Technology, Ningbo, Zhejiang 315200, China +4

  29. Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning

    Sep 10, 2026Saeed Shariati, Mohsen Alambardar MeybodiGradient Inversion AttacksFederated Learning

    Department of Applied Mathematics and Computer Science, Faculty of Mathematics and Statistics, University of Isfahan, Isfahan 81746-73441, Iran

  30. HybridFLow: SDN-Orchestrated Client Partitioning for Hybrid Federated Learning

    Sep 9, 2026Osama Abu Hamdan, Rabin Pandey, Hao Che +2Asynchronous Federated LearningFederated Learning

    University of Texas at Arlington · Missouri University of Science and Technology · Meta Platforms, Inc.