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9 papers in the last four weeks, down 31% on the four weeks before. 0.1% of all new papers.

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

    Oct 1, 2026Wentao Yue, Tianyou Lai, Hongji Li +2Heterogeneous Federated LearningFederated Learning

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

    Oct 1, 2026Junkang LiuFederated LearningFedavg

    Tianjin University

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

    Oct 1, 2026Junkang LiuSpectral PreconditioningFedavg

    Tianjin University

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

    Oct 1, 2026Jolle Verhoog, Ali Burak Ünal, Holger CaesarFederated Learning3D Object Detection

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

  5. FedLAFP: Low-Rank Aggregation Meets Full-Rank Personalization in Federated Fine-Tuning

    Sep 29, 2026Mengjun Yi, Huaian Gu, Yinghao Ai +2FedavgModel Fine-Tuning

    State Key Laboratory for Novel Software Technology · School of Artificial Intelligence · School of Computer Science +1

  6. FedMust: Semi-supervised Multi-task Student-Teacher Federated Learning for Multi-organ CT Segmentation

    Sep 21, 2026Ashkan Moradi, Bendik Skarre Abrahamsen, Mattijs ElschotSemi-Supervised Medical Image SegmentationMulti Organ Computed Tomography Segmentation

    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway · Central Staff at St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

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

    Sep 16, 2026Jintao Yan, Tan Chen, Yuxuan Sun +2FedavgEgo-Trajectory Prediction

    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.

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

    Sep 14, 2026Changkun Lin, Junxiao WangFederated LearningFedavg

    Guangzhou University, China

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

    Sep 9, 2026Osama Abu Hamdan, Rabin Pandey, Hao Che +2Federated LearningFedavg

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

  10. Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning

    Sep 4, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamFederated LearningClean Label Backdoor Attack

    Department of Computer Science Kennesaw State University Marietta, USA

  11. Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation

    Sep 1, 2026Wentao Ye, Zhanming Shen, Zhiqing Xiao +3Large Language Model AdaptationFrozen

    Zhejiang University · Hunyuan, Tencent

  12. Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost

    Aug 31, 2026Zihang Liang, Haochen Zhang, Lingzhou XueFederated LearningMulti-Agent Reinforcement Learning

    Department of Statistics, The Pennsylvania State University

  13. Pretrained, Curriculum-Tuned, and Ensembled: A Tracer-Aware Interactive Segmentation Pipeline for AutoPET V

    Aug 31, 2026Xinglong Liang, Chunyao Lu, Tianyu Zhang +4Lesion SegmentationMulti Organ Computed Tomography Segmentation

    Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, the Netherlands · Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands · Faculty of Applied Sciences, Macao Polytechnic University, 999078, Macao Special Administrative Region of China +2

  14. FIS-OT: Feature-Induced Optimal Transport for Unsupervised Action Segmentation

    Aug 30, 2026Linxiang Peng, Xinyao Qin, Jinhan Li +2Temporal Action SegmentationPhotometric Supervision

    Suzhou Institute for Advanced Research, University of Science and Technology of China · School of Artificial Intelligence and Data Science, University of Science and Technology of China · Suzhou Big Data & AI Research and Engineering Center +1

  15. LabelFusion-TS: Fusing Large Language Models, Transformer Encoders, and Financial Time Series for Monetary-Policy Stance Classification

    Aug 12, 2026Michael Schlee, Fabian Lukassen, Christoph WeisserFinancial Sentiment AnalysisCnn-Lstm

    Centre for Statistics, Georg-August-Universität Göttingen, Germany · Hochschule Bielefeld (HSBI) - University of Applied Sciences and Arts, Bielefeld, Germany

  16. Foundation Model-Enabled Efficient Data Sampling (FEEDS): A label-efficient training strategy for pan-cancer, multi-tracer PET/CT datasets

    Aug 11, 2026Biratal Raj Wagle, Bashirul Azam Biswas, Grant Chau +5Lesion SegmentationPositron Emission Tomography

    Department of Biomedical Data Science Geisel School of Medicine at Dartmouth Hanover, NH 03755, USA · Radiology Dartmouth Hitchcock Medical Center Lebanon, NH 03766, USA · Department of Urology Yale University New Haven, CT, USA +1

  17. FedCGR: Federated Cross-Domain Generative Recommendation

    Aug 11, 2026Zhuodong Liu, Hugen Lv, Xiangyu Li +2Collaborative FilteringFedavg

    Beijing Jiaotong University China · Shanghai Jiao Tong University China · University of Malaya Malaysia +1

  18. FedOrbit: Adaptive Personalized Federated Learning for Non-IID LEO Satellite Constellations

    Aug 10, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalFederated LearningMultiple Satellite Systems

    School of Engineering London South Bank University, London, UK

  19. XFeat Revisited: Reproducibility and Evaluation of a Lightweight Image Matcher

    Aug 10, 2026Lazar Đoković, Aimee LinHarder Better Faster Denser Feature MatchingCapability-Speed Trade-Offs

    Faculty of Computer and Information Science University of Ljubljana

  20. Label Granularity Skew in Federated Learning with Hierarchical Image Classification

    Aug 10, 2026Jaeheon Kim, Hokeun Kim, Bong Jun ChoiHeterogeneous Federated LearningFederated Learning

    School of Computer Science and Engineering, Soongsil University, Seoul, Republic of Korea · School of Computing and Augmented Intelligence, Arizona State University, Tempe, United States

  21. FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning

    Aug 10, 2026Radwan Selo, Majid Kundroo, Taehong KimFederated LearningFedavg

    School of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea

  22. FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning

    Aug 10, 2026Van Truong Vo, Khoa Nguyen, Taehong KimFedavgBatch

    School of Information and Communication Engineering, Chungbuk National University, Cheongju, South Korea

  23. Private Anytime Selective-Risk Certification for Federated Retrieval-Augmented Generation: Guarantees and Empirical Limits

    Aug 8, 2026Sanjeda Akter, Ibne Farabi Shihab, Anuj SharmaConformal Risk ControlFedavg

    Department of Computer Science, Iowa State University · Department of Civil, Construction & Environmental Engineering, Iowa State University

  24. FedVAR: Prototype-Aligned Federated Framework for Video Anomaly Recognition

    Aug 7, 2026Ghani Haider, Majid Kundroo, Boyun Eom +3Training-Free Video Anomaly DetectionFederated Learning

    School of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea · Electronics and Telecommunications Research Institute (ETRI), Daejeon, 34129, Republic of Korea · Institute of Artificial Intelligence (IAI), University of Central Florida, Orlando, 32816, USA

  25. FedTransKD-IDS: Robust Federated Transfer Learning with Knowledge Distillation for Intrusion Detection in IoT

    Aug 6, 2026Mohammad Hosssein Gholamrezazadeh, Ahmadreza MontazerolghaemAhmadreza MontazerolghaemFederated LearningInternet Of Thing

    Faculty of Computer Engineering University of Isfahan Isfahan, Iran

  26. DG-FedReuse: Proxy-Gradient-Gated Cached-Update Reuse with Matched Sparse Uplink Accounting

    Aug 5, 2026Rahil Aftab, Vineet Kumar Rakesh, Soumya Mazumdar +1Federated LearningFedavg

    Department of Computer Science and Engineering Jamia Hamdard New Delhi 110062, India · Engineering Science Homi Bhabha National Institute Anushaktinagar, Mumbai 400094, Maharashtra, India · Computer and Informatics Group Variable Energy Cyclotron Centre 1/AF, Bidhannagar, Kolkata 700064, West Bengal, India +1

  27. FedCARE: A Multi-Objective Personalised Federated Learning Framework for Smart Healthcare

    Aug 4, 2026Rojalini Tripathy, Padmalochan Bera, Shreya Ghosh +1Federated LearningFedavg

    Quantum Cloud Computing and Distributed Systems (qCLOUDS) Laboratory School of Computing and Information Systems The University of Melbourne, Parkville, Australia · Department of Computer Science School of Electrical and Computer Sciences Indian Institute of Technology Bhubaneswar, India

  28. FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations

    Aug 4, 2026Ziwu Liu, Inês Pinto Gouveia, Rehana Yasmin +2Low Earth Orbit Satellite NetworksFederated Learning

    CEMSE Division, King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900, Kingdom of Saudi Arabia

  29. AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning

    Aug 4, 2026Shengyang Li, Yiting Dong, Liuyang Song +5Spiking Neural NetworksFederated Learning

    School of Software and Microelectronics, Peking University, Beijing, China · School of Computer Science, Peking University, Beijing, China · Institute for Artificial Intelligence, Peking University, Beijing, China

  30. Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients

    Jul 31, 2026Shengkun Zhu, Jinshan Zeng, Zhihua Allen-Zhao +5FedavgParameter-Efficient Fine-Tuning Methods

    The Hong Kong Polytechnic University · OceanBase, Ant Group · School of Management, Xi’an Jiaotong University +3

  31. FedOGL: Combating Catastrophic Forgetting in Federated Open-World Multimodal Graph Learning

    Jul 30, 2026Zekai Chen, Haodong Lu, Shihao Li +5Federated Graph LearningGraph Foundation Model

    Beijing Institute of Technology, Beijing, China

  32. Learning Color Grading, No Photo Sharing: Federated Aesthetic Preference Learning for Personalized Image Enhancement

    Jul 30, 2026Chuanzhi Xu, Ziyuan Tao, Jean Julien KNell +5Image EnhancementFedavg

    The University of Sydney · Macquarie University

  33. Defending Against Backdoor Attacks via Alignment Checking in Model-Contrastive Federated Learning

    Jul 29, 2026Hongliang Zhang, Zhongyuan Yu, Guijuan Wang +4Federated LearningModel-Agnostic Defense

    Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China · College of computer science and technology, China University of Petroleum, Qingdao, 266580, China · School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

  34. A Persona-based Rate Action Index

    Jul 29, 2026Hayden Helm, Andrew DassoriConsumptionData-Driven Forecasting

    Helivan · Wavelength Capital

  35. FedTaste: Topology-Aware Structural Transfer for Multimodal Federated Learning with Missing Modalities

    Jul 25, 2026Haochen Liang, Jie Zhang, Hideya OchiaiMultimodal LearningMissing Modalities

    The University of Tokyo Tokyo, Japan · Great Bay University Dongguan, China

  36. FSE: Continual Learning for Named Entity Recognition by Fast-Slow Experts

    Jul 24, 2026Yunan Zhang, Yang Fan, Heng Li +2Named-Entity RecognitionReplay-Based Continual Learning

    School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China

  37. Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobility

    Jul 23, 2026Cande Lian, Wentao Zeng, Jiabin Wu +2Electric VehiclesPredictive Maintenance

    School of Management, Foshan University, Foshan, China · School of Management, Foshan University, Foshan 528000, China · School of Mathematics, Foshan University, Foshan 528000, China +5

  38. FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents

    Jul 23, 2026Weihao Li, Jun Bai, Ziyang SongFedavgEvolutionary Optimization Methods

    McCormick School of Engineering, Northwestern University · School of Computer Science, McGill University · Mila – Quebec AI Institute +1

  39. FedLSG: LLM-Enhanced Semantic Calibration for Federated Graph Backdoor Defense

    Jul 22, 2026Chenyu Zhou, Yabin Peng, Wei Huang +3Federated Graph LearningModel-Agnostic Defense

    Southeast University Purple Mountain Laboratories · Institute of AI for Industries Chinese Academy of Sciences · Purple Mountain Laboratories

  40. Constraint-Aware Aggregation for Federated Reinforcement Learning in Microgrid Energy Coordination

    Jul 14, 2026Usman Haider, Karl MasonFederated LearningMulti-Agent Reinforcement Learning

    School of Computer Science, University of Galway, Ireland.

  41. Federated Low-Rank Koopman Learning for Multivariate Time-Series Anomaly Detection in IoT Systems

    Jul 9, 2026Tung-Anh Nguyen, Van-Phuc Bui, Anh Tuyen Le +4Time-Series Anomaly DetectionInternet Of Thing

    Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia · Faculty of Information Technology, FPT University, Vietnam · School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam

  42. FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning

    Jul 9, 2026Lingyu Qiu, Daniela Annunziata, Stefano Izzo +2Federated LearningFedavg

    Department of Mathematics and Applications “R. Caccioppoli”, University of Naples Federico II, Italy

  43. FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection

    Jul 9, 2026Vikash Sathiamoorthy, Shuo Huai, Hao Kong +7Federated LearningTransfer Learning

    HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, Singapore · School of Computer Science and Engineering, Nanyang Technological University, Singapore · Department of Computer Science, Norwegian University of Science and Technology, Norway +2

  44. WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning

    Jul 7, 2026Sangwoo Lee, Sunghwan Park, Jaewoo LeeFederated LearningFedavg

    Chung-Ang University, Seoul, South Korea

  45. Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

    Jul 6, 2026Omar Al-Refai, Ibrahim Shahbaz, Adam Ali Husseinat +1Optimal ControlMulti-Agent Reinforcement Learning

    iSTAR Lab, Texas A&M University College Station, TX, USA

  46. FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging

    Jul 5, 2026Harsh Kumar, Tarun Kumar Garg, Vaanathi SundaresanFederated LearningFedavg

    Department of Computational and Data Sciences, Indian Institute of Science Bengaluru, Karnataka 560012, India · Department of IISc Mathematics Initiative, Indian Institute of Science Bengaluru, Karnataka 560012, India

  47. FedSPM: Routing-Enabled Federated Learning under Dual Heterogeneity via Semiparametric Mixture

    Jul 5, 2026Zijian Wang, Pengfei Li, Guangyu Yang +1Heterogeneous Federated LearningFederated Learning

    Institute of Statistics and Big Data, Renmin University of China · Department of Statistics and Actuarial Science, University of Waterloo

  48. FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity

    Jul 4, 2026Shuai Li, Qinglin Wang, Ping Luo +8FedavgTransformer Architectures

    Laboratory of Digitizing Software for Frontier Equipment, National University of Defense Technology · 2National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology · College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China

  49. FedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy

    Jul 3, 2026Andrea De Luna, Susanna Peretti, Chiara Contoli +1Federated LearningFedavg

    DiSPeA University of Urbino

  50. QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition

    Jul 2, 2026Quoc Bao Phan, Tuy Tan NguyenFederated LearningHybrid Quantum-Classical Pipeline

    Department of Electrical and Computer Engineering FAMU-FSU College of Engineering, Florida State University Tallahassee, FL 32310, USA

  51. FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning

    Jun 30, 2026Zekai Chen, Kairui Yang, Xuaner Chen +4Federated Graph LearningGraph Foundation Model

    Beijing Institute of Technology, Beijing, China

  52. Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense

    Jun 29, 2026Mitchell Hermon, Rahul Gupta, Weitong Ruan +2Prompt-Injection DetectorsLarge Language Model Safety

    University of Illinois Urbana-Champaign · 2Amazon

  53. FedLAS: Feature-Modulated Bidirectional Label Smoothing for Neural Network Calibration

    Jun 26, 2026Thiru Thillai Nadarasar Bahavan, Sachith Seneviratne, Saman HalgamugeLoss FunctionConfidence Estimation

    The University of Melbourne, Parkville, Australia

  54. FedReLa: Imbalanced Federated Learning via Re-Labeling

    Jun 24, 2026Guangzheng Hu, Patricia Menéndez, Feng Liu +3Federated LearningImbalanced Classification

    School of Mathematics and Statistics, University of Melbourne, Victoria, Australia · School of Computing and Information Systems, University of Melbourne, Victoria, Australia · School of Statistics and Data Science, LPMC, KLMDASR, and LEBPS, Nankai University

  55. MedPCFM: Improving Medical Point Cloud Completion by Integrating Point Transformers and Flow Matching

    Jun 23, 2026Kamil Kwarciak, Marek WodzinskiPoint CloudsMedical Image Generation

    Department of Measurement and Electronics, AGH University of Krakow, Krakow, Poland · Sano Centre for Computational Medicine, Krakow, Poland

  56. FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs

    Jun 22, 2026Wenlong Cheng, Yuan Gan, Yunqiu Xu +1Federated LearningDataset Ownership Verification

    Northwest Normal University · The University of Tokyo · National University of Singapore +1

  57. Federated learning with heavy-tailed gradient noise and communication noise: a variance-reduction based algorithm

    Jun 21, 2026Shengchao Zhao, Yongchao LiuFederated LearningFedavg

    School of Mathematics, China University of Mining and Technology, Xuzhou, China · School of Mathematical Sciences, Dalian University of Technology, Dalian, China

  58. pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning

    Jun 15, 2026Zhuodong Liu, Xiangyu Li, Zhihao ZhangFederated LearningFedavg

    1Saunders College of Business, Rochester Institute of Technology, Rochester, NY 14623, USA · School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

  59. Federated Learning for Feature Generalization with Convex Constraints

    Jun 12, 2026Dongwon Kim, Donghee Kim, Sung Kuk Shyn +1Federated LearningFedavg

    Department of Computer Science and Engineering, University of Sungkyunkwan, Suwon, Korea · Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea

  60. Accurate and Resource-Efficient Federated Continual Learning

    Jun 9, 2026Jebacyril Arockiaraj, Dhruv Parikh, Jayashree Adivarahan +2Federated LearningReplay-Based Continual Learning

    University of Southern California · Los Angeles, USA · DEVCOM Army Research Office +1