Federated Learning

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  1. MOSAIC-FL, a micro-service based privacy-preserving framework with application to genomics

    Jul 27, 2026Paul Largillier, Karl Paygambar, Cédric Gouy-Pailler +3Privacy-Preserving MLGenomics

  2. Every Client Is an Environment: Federated De-confounding for Spatio-Temporal Forecasting

    Jul 27, 2026Qingxiang Liu, Anqi Liang, Heng Wang +1Domain GeneralizationCausal Inference

  3. Adaptive Data Admission and Retention for Streaming Federated Learning

    Jul 27, 2026Zhuoyi Zhao, Ben LiangAdaptive SamplingFederated Learning

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

    Jul 25, 2026Haochen Liang, Jie Zhang, Hideya OchiaiMultimodal Federated LearningMissing-Modality Learning

  5. FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos

    Jul 25, 2026Samar Samir Khalil, Noha S. Tawfik, Marco SpruitMinimum Description LengthPrivacy-Preserving ML

  6. OrchNAS: Orchestrated Neural Architecture Search Service for Personalised Federated Edge Intelligence

    Jul 24, 2026Keya Patel, Sajib Mistry, Sheik Mohammad Mostakim Fattah +1Energy-Efficient MLEdge Computing

  7. Towards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach

    Jul 23, 2026Yuhua Wang, Xiaodong Li, Yihao Guo +6VLM AdaptationDifferentially Private Federated Learning

  8. FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents

    Jul 23, 2026Weihao Li, Jun Bai, Ziyang SongFederated Knowledge DistillationLLM Agent Training

  9. Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers

    Jul 23, 2026Hariharan Ramesh, Jyotikrishna DassFederated Learning AggregationCommunication-Efficient Distributed Training

  10. Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning

    Jul 23, 2026Shiva Raj Pokhrel, Dipsan Bhattarai, Anwar WalidFederated Learning AggregationNuclear Norm Minimization

  11. Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction

    Jul 23, 2026Aubida A. Al-Hameed, Mohammed M. H. Qazzaz, Maryam Hafeez +1Open Radio Access NetworkFederated Learning

  12. Information-Theoretically Secure Aggregation for Lightweight Federated Learning: Resilient to Dropouts and Adversaries

    Jul 23, 2026Hyeong-Gun Joo, Songnam Hong, Dong-Joon ShinSecure Multi-Party ComputationFederated Learning Aggregation

  13. QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation

    Jul 23, 2026Madan Baduwal, Priyanka PaudelPolyp SegmentationMedical Image Segmentation

  14. One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification

    Jul 22, 2026Afsaneh Mahanipour, Hana KhamfroushChest X-Ray ClassificationFederated Learning Aggregation

  15. Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learning

    Jul 22, 2026Liwei Wang, Wen Chen, Jun Li +4Reconfigurable Intelligent SurfacesWireless Communications

  16. A Drift Stable Quantum Federated Learning for Intelligent Services

    Jul 22, 2026Shanika Iroshi Nanayakkara, Shiva Raj PokhrelQuantum Machine LearningDeep Unfolding

  17. Understanding Developer Pain Points in Federated Learning: Insights from Stack Overflow and GitHub

    Jul 21, 2026Sahand Saed, Khairul Alam, Banani RoySoftware EngineeringFederated Learning

  18. SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework

    Jul 21, 2026Akarsh K Nair, Muhammad Arifur Rahman, Nicholas Shopland +8Synthetic Data PretrainingClinical Outcome Prediction

  19. Evaluating Federated Pre-Training: On the Reliability of Downstream Fine-Tuning and Intrinsic Evaluation

    Jul 20, 2026Claudia Grosser, Maike Heuer, Denis Krompass +1Language Model PretrainingLLM Evaluation

  20. Federated Lightweight Fine-Tuning

    Jul 20, 2026Radhakrishna Achanta, Will ReedFederated Learning AggregationFederated Fine-Tuning

  21. What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity

    Jul 16, 2026Kumar Kshitij Patel, Rustem Islamov, Sebastian U Stich +3Optimization Convergence AnalysisStochastic Optimization Convergence

  22. Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning

    Jul 15, 2026Haobo Zhang, Jiankun Wang, Suraj Rajendran +5Federated Learning AggregationLow-Rank Adaptation

  23. Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks

    Jul 15, 2026Santhosh Parampottupadam, Andres Martinez, Dimitrios Bounias +3Gradient Inversion AttacksAdversarial Attacks

  24. FM2^2: Unified Federated Foundation Models for Heterogeneous Multimodal Medical Imaging

    Jul 15, 2026Shengchao Chen, Ting ShuMultimodal Federated LearningCross-Modal Alignment

  25. Mixed-Timescale Differential Coding for Downlink Model Broadcast in Wireless Federated Learning

    Jul 14, 2026Chung-Hsuan Hu, Zheng Chen, Erik G. LarssonCommunication-Efficient Distributed TrainingFederated Learning

  26. PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

    Jul 13, 2026Jing Liu, Kun Yang, Yan Wang +5Multimodal Federated LearningFederated Learning Aggregation