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. Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

    Jul 1, 2026Jiefei Liu, Abu Saleh Md Tayeen, Pratyay Kumar +5Network Intrusion DetectionSynthetic Anomaly Generation

    Department of Computer Science, New Mexico State University, Las Cruces, NM, USA · University of Hartford, CT, USA · DEVCOM Analysis Center, WSMR, NM, USA

  2. Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning

    Jun 30, 2026Krishna Harsha Kovelakuntla Huthasana, Alireza Olama, Andreas LundellSparse RecoveryNon-IID Federated Learning

    Department of Engineering and Information Technology, Åbo Akademi University

  3. TallyTrain: Communication-Efficient Federated Distillation

    Jun 30, 2026Radhakrishna Achanta, Will ReedFederated Learning AggregationCommunication-Efficient Distributed Training

    Cisco Systems Inc.

  4. Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification

    Jun 30, 2026Aizierjiang AiersilanData LeakagePoint Cloud Classification

    University of Macau

  5. FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning

    Jun 30, 2026Maximilian Andreas Hoefler, Karsten Mueller, Wojciech SamekFederated LearningHeterogeneous Federated Learning

    Fraunhofer Heinrich Hertz Institute, Berlin, Germany · Technical University of Berlin, Berlin, Germany · Berlin Institute for the Foundations of Learning and Data (BIFOLD)

  6. Expected Gain-based Escalation in Vertical Federated Learning

    Jun 30, 2026Mohamad Mestoukirdi, Vincent CorlayAdaptive Model RoutingMulti-View Learning

    Mitsubishi Electric R&D Centre, Rennes, France

  7. Federated Learning with Energy-Based Structured Probabilistic Inference

    Jun 29, 2026Dario Fenoglio, Daniil Kirilenko, Martin Gjoreski +1Federated Learning AggregationConditional Random Fields

    Faculty of Informatics, Universit`a della Svizzera italiana, Lugano, Switzerland.

  8. SP-CACW: Convergence-Aware Client Weighting for Selfish Personalized Learning

    Jun 28, 2026Yaron Kiselman, Kfir Y. LevyFederated Learning AggregationNon-IID Federated Learning

    Technion Haifa, Israel

  9. Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning

    Jun 27, 2026Wenhao Yuan, Chenchen Lin, Jian Chen +3Class-Incremental LearningFederated Continual Learning

    Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China · School of Artificial Intelligence, Sun Yat-sen University, China.

  10. FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks

    Jun 26, 2026Emmanuel Rassou, Tomas GonzalezHierarchical Federated LearningFederated Learning Aggregation

    School of Engineering and Applied Sciences (SEAS) Harvard Cambridge, MA, USA

  11. Quantization in Federated Learning: Methods, Challenges and Future Directions

    Jun 25, 2026Farwa Ikram, Dipanwita Thakur, Antonella Guzzo +1Neural Network QuantizationFederated Learning

    DIMES - University of Calabria, Italy

  12. FedReLa: Imbalanced Federated Learning via Re-Labeling

    Jun 24, 2026Guangzheng Hu, Patricia Menéndez, Feng Liu +3Class-Imbalanced LearningFederated Learning

    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

  13. Federated Hash Projected Latent Factor Learning

    Jun 24, 2026Jialan HeCommunication-Efficient Distributed TrainingPrivacy-Preserving ML

    College of Computer and Information Science Southwest University Chongqing 400715, China

  14. Color Matters: Trigger Color Affects Success in Federated Backdoor Attacks

    Jun 24, 2026Kavindu Herath, Joshua C. Zhao, Saurabh BagchiBackdoor AttacksBackdoor Attacks in Federated Learning

    Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA

  15. Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction

    Jun 23, 2026Wenjie Ding, Yi Sin Lin, Jiale Liu +8Edge ComputingSplit Federated Learning

    School of Computing · Newcastle University · Newcastle upon Tyne, United Kingdom

  16. FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filters

    Jun 23, 2026Feihong Nan, Zhengyi Zhong, Pan Wang +4Federated UnlearningMachine Unlearning

    1National Key Laboratory of Big Data and Decision, National University of Defense Technology, China.

  17. Federated Survival Analysis in Healthcare: A Multi-Model Evaluation on Cross-Institutional Heterogeneous Breast Cancer Data

    Jun 22, 2026Natalia Moreno-Blasco, Anusha Ihalapathirana, Pekka Siirtola +1Cancer Survival PredictionSurvival Analysis

    Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland · Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland · Faculty of Engineering, University of Deusto, Bilbao, Spain

  18. Privacy-preserving federated tensor decomposition of single-cell immune data: recovering multicellular programs across institutions

    Jun 22, 2026Axel Faes, Stephanie M. van den Berg, Maryam Amir HaeriFederated Learning AggregationTensor Decomposition

    Data Science Institute, Hasselt University, Belgium · University of Twente, The Netherlands · Learning, Data Analytics and Technology, University of Twente, The Netherlands

  19. Development and Design of FLKit: A Structured Onboarding Toolkit for Federated Learning in Health and Life Sciences

    Jun 22, 2026Ashkan Pirmani, Ilse Vermeulen, Goran Vinterhalter +7Federated Learning

    1STADIUS, Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium · 2Biomedical Research Institute (BIOMED), Hasselt University, Hasselt, Belgium · 3Data Science Institute (DSI), Hasselt University, Hasselt, Belgium +1

  20. Unlocking In-Context Learning in Audio-Language Models from Decentralized Medical Audio

    Jun 22, 2026Ran Piao, Tsai-Ning Wang, Martijn den Dekker +4Few-Shot Audio ClassificationMultimodal ICL

    Eindhoven University of Technology, The Netherlands · Erasmus MC, The Netherlands · Rijnstate Hospital, The Netherlands +1

  21. FLFL: Federated Latent Factor Learning for Private Recovery of Spatio-Temporal Signals

    Jun 22, 2026Chengjun Yu, Di Wu, Yi He +1Latent Variable ModelsPrivacy-Preserving ML

    Southwest University Chongqing, China · College of William & Mary Williamsburg, Virginia, United States · Beihang University Beijing, China

  22. Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning

    Jun 22, 2026Nuocheng Yang, Yechen He, Sihua Wang +3Federated UnlearningCommunication-Efficient Distributed Training

    Beijing Laboratory of Advanced Information Network, and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China · Information Systems Technology and Design Pillar, Singapore University of Technology and Design, 487372, Singapore

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

    Jun 22, 2026Wenlong Cheng, Yuan Gan, Yunqiu Xu +1Diffusion Model WatermarkingLatent Diffusion Models

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

  24. Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design

    Jun 22, 2026Mingyuan Fan, Cen ChenAdversarial RobustnessTransfer-Based Adversarial Attacks

    East China Normal University Shanghai, China

  25. Subspace-Constrained Federated Learning with Low-Rank Adaptation

    Jun 21, 2026Neranjan Senarath, Rohit Muralitharan, Sadia AsifFederated Learning AggregationNon-IID Federated Learning

    Department of ECSE Rensselaer Polytechnic Institute Troy, NY 12180, USA · Department of Computer Science Rensselaer Polytechnic Institute Troy, NY 12180, USA

  26. SCRUB-FL: Sanitizing and Cleansing Representations via Unlearning of Backdoors

    Jun 21, 2026Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab +2Backdoor Attacks in Federated LearningFederated Learning

    Department of Computer and Software Engineering, Polytechnique Montréal, Montreal, Quebec, Canada · Department of Computer Science, Khalifa University, Abu Dhabi, UAE

  27. Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach with Statistical and Neural Models

    Jun 21, 2026Attia Qammar, Qazi Haseeb Yousaf, Ali Azam +3Time Series ForecastingFederated Learning

    School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 610031, China · Department of Computer Science, Bahria University, Islamabad · School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, PR China

  28. A Survey on Federated Causal Discovery and Inference

    Jun 21, 2026Xianjie Guo, Yuwei Wang, Guodu Xiang +4Causal Effect EstimationCausal Discovery

    School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China · School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230601, China · College of Computing and Data Science, Nanyang Technological University, Singapore 639798 +1

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

    Jun 21, 2026Shengchao Zhao, Yongchao LiuStochastic OptimizationNonconvex Stochastic Optimization

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

  30. FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift

    Jun 20, 2026Kaijie Chen, Alex Johnson, Maria Garcia +2Distribution ShiftFederated Learning

    Mindlab