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. Privacy-Preserving Generation Fraud Detection for Distributed Photovoltaic Systems: A Solar Irradiance-Fused Federated Learning Framework

    May 16, 2026Xiaolu Chen, Chenghao Huang, Yanru Zhang +1Privacy-Preserving MLFederated Learning

    School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China · Department of Data Science and AI, Faculty of IT, Monash University, Melbourne, VIC 3800, Australia · Department of Data Science and AI, Faculty of IT and Monash Energy Institute, Monash University, Melbourne, VIC 3800, Australia +1

  2. UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models

    May 15, 2026Van-Tuan Tran, Hong-Hanh Nguyen-Le, Marco Ruffini +1Expert Load BalancingSparse Mixture-of-Experts

    School of Computer Science and Statistics, Trinity College Dublin, Ireland · School of Computer Science, University College Dublin, Ireland

  3. Federated Imputation under Heterogeneous Feature Spaces

    May 15, 2026Imane Hocine, Chaimaa Medjadji, Sylvain Kubler +2Incomplete Data ImputationFederated Learning

    SnT, University of Luxembourg, Luxembourg · FSTM/DCS, University of Luxembourg, Luxembourg

  4. Centralized vs Decentralized Federated Learning: A trade-off performance analysis

    May 15, 2026Chaimaa Medjadji, Guilain Leduc, Sylvain Kubler +1Decentralized LearningFederated Learning

    University of Luxembourg

  5. Practical Validity Conditions for Byzantine-Tolerant Federated Learning

    May 15, 2026Mélanie Cambus, Darya Melnyk, Tijana Milentijević +1Federated Learning AggregationByzantine-Robust Federated Learning

    Aalto University, Finland · Technical University Berlin

  6. Towards Family-Grouped Hierarchical Federated Learning on Sub-5KB Models: A Feasibility Study of Privacy-Preserving ECG Monitoring for Ultra-Resource-Constrained Wearables

    May 15, 2026Hangyu WuHierarchical Federated LearningCommunication-Efficient Distributed Training

    Shenzhen Coddie Technology co.,ltd, Shenzhen, 518000, China

  7. Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers

    May 14, 2026Andras Ferenczi, Sutapa Samanta, Dagen Wang +1Federated Learning AggregationByzantine-Robust Federated Learning

    American Express Co · American Express Co. · Columbia University

  8. Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions

    May 14, 2026Sanja Karilanova, Subhrakanti Dey, Ayça ÖzçelikkaleSpiking Neural NetworksFederated Learning

    Department of Electrical Engineering, Uppsala University, Sweden

  9. BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring

    May 14, 2026Zixuan Shu, Tiancheng Cao, Hen-Wei HuangLong-Tail LearningCommunication-Efficient Distributed Training

    School of Electrical and Electronic Engineering, Nanyang Technological University, Republic of Singapore · Lee Kong Chian School of Medicine, Nanyang Technological University, Republic of Singapore

  10. FedStain: Modeling Higher-Order Stain Statistics for Federated Domain Generalization in Computational Pathology

    May 14, 2026Fengyi Zhang, Junya Zhang, Wenzhuo SunComputational PathologyWhole-Slide Image Analysis

    School of Electronic Science and Technology, Hainan University, Haikou, China, 570228 · School of Computer Science and Technology, Xidian University, Xi’an, China, 710126 · Xiangjiang College of Elite Engineers, Hunan University, Changsha, China, 410082

  11. Towards the Next Frontier of LLMs, Training on Private Data: A Cross-Domain Benchmark for Federated Fine-Tuning

    May 13, 2026Daniel M. Jimenez-Gutierrez, Enrique Zuazua, Georgios Kellaris +3LLM Fine-TuningNon-IID Federated Learning

  12. DisAgg: Distributed Aggregators for Efficient Secure Aggregation in Federated Learning

    May 13, 2026Haaris Mehmood, Giorgos Tatsis, Dimitrios Alexopoulos +4Federated Learning AggregationCommunication-Efficient Distributed Training

    Samsung R&D Institute UK (SRUK) · Information Technologies Institute (CERTH-ITI)

  13. FedHPro: Federated Hyper-Prototype Learning via Gradient Matching

    May 13, 2026Huan Wang, Jun Shen, Haoran Li +6Federated LearningHeterogeneous Federated Learning

    School of Computing and Information Technology, University of Wollongong, Wollongong, Australia · School of Computing and Information Systems, Singapore Management University, Singapore, Singapore · Monash University, Australia +3

  14. STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning

    May 12, 2026Zekai Chen, Xun Wu, Xunkai Li +3Multimodal Federated LearningCross-Modal Representation Learning

    Beijing Institute of Technology, Beijing, 100081, China · Minzu University of China, Beijing, 100081, China

  15. Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs

    May 12, 2026Amr Abourayya, Jens Kleesiek, Michael KampLLM Fine-TuningFederated Knowledge Distillation

    Lamarr Institute for ML and AI, Technical University Dortmund · Institute for AI in medicine (IKIM),University Hospital Essen

  16. Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning

    May 12, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalHierarchical Federated LearningFederated Learning Aggregation

    Computer Science and Informatics · London South Bank University · London, UK +1

  17. Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention

    May 12, 2026Qijun Hou, Yuchen Shi, Pingyi Fan +1Client Selection in Federated LearningFederated Learning

    Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China · Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong

  18. FedOUI: OUI-Guided Client Weighting for Federated Aggregation

    May 12, 2026Alberto Fernández-Hernández, Jose I. Mestre, Cristian Pérez-Corral +3Federated Learning AggregationNon-IID Federated Learning

    Universitat Politècnica de València, Valencia, Spain · Universitat Jaume I, Castelló de la Plana, Spain · Openchip & Software Technologies S.L., Spain

  19. COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication

    May 11, 2026Ben Rachmut, Luise Ge, William Yeoh +2Clustered Federated LearningFederated Learning

    Washington University in St. Louis

  20. FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement

    May 11, 2026Fatima Z. Abacha, Sin G. Teo, Yuanxiang Wu +2Backdoor AttacksBackdoor Attacks in Federated Learning

    The University of Manchester, UK · Institute for Infocomm Research, A*STAR, Singapore · Monash University, Australia +1

  21. SplitFed-CL: A Split Federated Co-Learning Framework for Medical Image Segmentation with Inaccurate Labels

    May 11, 2026Zahra Hafezi Kafshgari, Hadi Hadizadeh, Parvaneh SaeediSplit Federated LearningNoisy-Label Learning

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

  22. Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs

    May 11, 2026Li Shen, Xiaolei Hao, Qinglun Li +3Non-IID Federated LearningFederated Learning

    Shenzhen Campus of Sun Yat-Sen University · University of Science and Technology of China · Shantou University

  23. DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models

    May 11, 2026Haaris Mehmood, Jie Xu, Karthikeyan Saravanan +2Privacy-Preserving Language ModelsDifferentially Private Stochastic Gradient Descent

    Samsung R&D Institute UK (SRUK) · Samsung AI Centre Cambridge

  24. FERA: Uncertainty-Aware Federated Reasoning for Large Language Models

    May 11, 2026Ruhan Wang, Chengkai Huang, Zhiyong Wang +6LLM ReasoningFederated Learning

    Indiana University · The University of New South Wales · The Chinese University of Hong Kong +2

  25. Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage

    May 11, 2026Prasanjit Dubey, Xiaoming HuoRetrieval-Augmented GenerationCommunication-Efficient Distributed Training

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, U.S.A.

  26. Concordia: Self-Improving Synthetic Tables for Federated LLMs

    May 11, 2026Jimin Huang, Duanyu Feng, Nuo Chen +8LLM Fine-TuningSynthetic Data Generation

    University of Manchester · The Fin AI · National University of Singapore +5

  27. Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks

    May 10, 2026Su Wang, Mung Chiang, H. Vincent PoorEdge ComputingWireless Resource Allocation

    Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA · Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

  28. M2^2FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices

    May 10, 2026Manjil Nepal, Kimsie Phan, Tamoghna Ojha +2Multimodal Federated LearningAir Quality Prediction

    Department of Computer Science and Engineering, SRM University-AP, India · Department of Mathematics and Computing, IIT (ISM) Dhanbad, India · Department of Mathematics and the Department of Computer Science, University of Central Florida, USA

  29. A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions

    May 10, 2026Antonios Makris, Christos Dousis, Emmanouil Kritharakis +2Federated Learning AggregationNon-IID Federated Learning

    School of Electrical and Computer Engineering, National Technical University of Athens, Greece · Department of Informatics and Telematics, Harokopio University of Athens, Greece

  30. FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-level Anomaly Detection

    May 10, 2026Yunfeng Zhao, Yixin Liu, Qingfeng Chen +3Federated Graph LearningReconstruction-Based Anomaly Detection

    Guangxi University · Griffith University