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 Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

    Apr 30, 2026Gaurang Sharma, Juha Pajula, Aada Illikainen +4Homomorphic EncryptionPrivacy-Preserving ML

    VTT Technical Research Centre of Finland Ltd, 33720, Tampere, Finland · VTT Technical Research Centre of Finland Ltd, 02150, Espoo, Finland · Solita Oy, 00100 Helsinki, Finland +1

  2. FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning

    Apr 30, 2026Mahad Ali, Laura J. BrattainNon-IID Federated LearningClustered Federated Learning

    University of Central Florida, Orlando FL 32816, USA

  3. AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning

    Apr 30, 2026Zehui Tang, Yuchen Liu, Feihu HuangFederated Learning AggregationByzantine-Robust Federated Learning

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China · MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing, China.

  4. Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging

    Apr 29, 2026Zhaoyuan Cai, Xinglin ZhangFederated UnlearningMedical Imaging

    School of Computer Science and Engineering South China University of Technology Guangzhou, China

  5. Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases

    Apr 29, 2026Gota MorishitaInverse Probability WeightingFederated Learning Aggregation

    Centre for Brain, Mind and Markets University of Melbourne Parkville, Victoria, Australia

  6. SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning

    Apr 29, 2026Yimeng Shan, Zhaorui Zhang, Sheng Di +3Communication-Efficient Distributed TrainingLLM Fine-Tuning

    Hong Kong Polytechnic University Hong Kong · Argonne National Labratory USA · University of California, Merced USA +1

  7. CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID

    Apr 29, 2026Fengchun Zhang, Qiang Ma, Liuyu Xiang +3Cross-Domain GeneralizationFederated Learning

    School of Information and Software Engineering, University of Electronic Science and Technology of China · 2QiYuan Lab · School of Artificial Intelligence, Beijing University of Posts and Telecommunications +1

  8. Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation

    Apr 29, 2026Martina Pavan, Matteo Caligiuri, Francesco Barbato +1Class-Imbalanced LearningSynthetic Data Augmentation

    University of Padova, Padova (PD), Italy · NIDEK Technologies Srl, Albignasego (PD), Italy

  9. Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization

    Apr 28, 2026Teetat Pipattaratonchai, Aueaphum AueawatthanaphisutPrivacy-Preserving MLFederated Learning

    Science Math Triamudom Suksa Bangkok, Thailand · School of Information, Computer, and Communication Technology Sirindhorn International Institute of Technology, Thammasat University Pathum Thani, Thailand

  10. Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification

    Apr 28, 2026Athanasios Papanikolaou, Athanasios Tziouvaras, Pavlos Stoikos +6Hierarchical Federated LearningPlant Disease Classification

    University of Zagreb, Croatia · University of Thessaly, Greece · University of Glasgow, UK +2

  11. Subspace Optimization for Efficient Federated Learning under Heterogeneous Data

    Apr 28, 2026Shuchen Zhu, Zhengyang Huang, Yuqi Xu +1Non-IID Federated LearningFederated Learning

    Peking University · Beihang University

  12. FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices

    Apr 28, 2026Changyu Li, Shuanghong Huang, Jiashen Liu +5Federated Fine-TuningFederated Learning

    School of Computing and Information Technology, Great Bay University, Dongguan, China · Beijing Institute of Technology, Beijing, China · University of Warwick, Coventry, U.K. +3

  13. When To Adapt? Adapting the Model or Data in Federated Medical Imaging

    Apr 27, 2026Chamani Shiranthika, Parvaneh SaeediDomain AdaptationMedical Image Classification

    School of Engineering Science, Simon Fraser University, Burnaby, BC, V5A 1S6

  14. Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation

    Apr 27, 2026Huaicheng Li, Junhui Zhao, Haoyu Quan +1Communication-Efficient Distributed TrainingLow-Rank Adaptation

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

  15. FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection

    Apr 27, 2026Yutong He, Zhengyang Huang, Jiahe Geng +1Communication-Efficient Distributed TrainingGradient Compression

    Peking University · Beihang University

  16. Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

    Apr 25, 2026Prajwal Panth, Nishant NigamFederated Learning AggregationCommunication-Efficient Distributed Training

    School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India · School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India

  17. Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy

    Apr 25, 2026Emre Ardıç, Yakup GençNon-IID Federated LearningDifferentially Private Federated Learning

    Department of Computer Engineering, Gebze Technical University, Gebze, Kocaeli 41400, Türkiye

  18. A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning

    Apr 25, 2026Daan Rosendal, Ana OprescuFederated Learning

    Complex Cyber Infrastructure, University of Amsterdam, Amsterdam, The Netherlands

  19. Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning

    Apr 25, 2026Wugeng Zheng, Ziwen Kan, Katie Wang +2Multimodal Federated LearningTime Series Imputation

    University of Central Florida · Independent Researcher

  20. Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

    Apr 24, 2026Asim Ukaye, Mubarak Abdu-Aguye, Nurbek Tastan +1Federated Learning AggregationFederated Learning

    MBZUAI, UAE · Michigan State University, USA

  21. FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet

    Apr 24, 2026Thibault Pautrel, Florent Bouchard, Ammar Mian +1Federated Learning AggregationFederated Learning

    CentraleSup´elec, L2S, France · Universit´e Savoie Mont-Blanc, LISTIC, France

  22. Federated Cross-Modal Retrieval with Missing Modalities via Semantic Routing and Adapter Personalization

    Apr 24, 2026Hefeng Zhou, Xuan Liu, Sicheng Chen +7Cross-Modal LearningMultimodal Federated Learning

    Shanghai Jiao Tong University · Hohai University · Shenzhen Univ of Advanced Technology

  23. Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning

    Apr 23, 2026Amine BarrakFederated Learning AggregationCloud Computing

    Department of Computer Science and Engineering, Oakland University, Rochester, MI 48309, USA

  24. Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach

    Apr 23, 2026Guilin Deng, Silong Chen, Yuchuan Luo +6Membership Inference AttacksPrivacy Leakage in Language Models

    Colleague of Computer Science and Technology, National University of Defense Technology, Changsha, China · City University of Hong Kong, Hong Kong, China · Shenzhen University, Shenzhen, China

  25. FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels

    Apr 22, 2026Sina Gholami, Abdulmoneam Ali, Tania Haghighi +2Noisy-Label LearningLearning with Noisy Labels

    University of North Carolina at Charlotte Charlotte, NC, USA

  26. Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems

    Apr 22, 2026Beining Wu, Jun HuangMobile RoboticsFederated Continual Learning

    Department of Electrical Engineering and Computer Science, South Dakota State University, Brookings, 57006 SD

  27. Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation

    Apr 22, 2026Jie Xu, Haaris Mehmood, Rogier Van Dalen +2Federated Learning AggregationNon-IID Federated Learning

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

  28. Federated Learning over Blockchain-Enabled Cloud Infrastructure

    Apr 21, 2026Saloni Garg, Amit Sagtani, Kamal Kant HiranPrivacy-Preserving MLFederated Learning

    Adobe Research San Jose, USA · San Francisco State University San Francisco, USA · Sir Padampat Singhania University Udaipur, India

  29. Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints

    Apr 21, 2026Konstantinos Ziliaskopoulos, Alexander VinelPredict-Then-OptimizeLearning to Optimize

    Auburn University

  30. FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning

    Apr 21, 2026Abdulmoneam Ali, Ahmed ArafaClusteringNoisy-Label Learning

    Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, NC 28223, USA