Heterogeneous Federated Learning

Latest papers 214

38 papers in the last four weeks, up 23% on the four weeks before. 0.3% of all new papers.

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  1. 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

  2. FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents

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

  3. 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

  4. A Drift Stable Quantum Federated Learning for Intelligent Services

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

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

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

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

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

  7. PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

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

  8. Enhanced Byzantine-Robust Federated Learning Via Truncated-Quadratic Loss for Heterogeneous Data

    Jul 13, 2026Zhi-Yong Wang, Hao Nan Sheng, Werner Stefan +3Federated Learning AggregationByzantine-Robust Federated Learning

  9. Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction

    Jul 9, 2026Hyunho Mo, Djura Smits, Mahlet A. Birhanu +4Privacy-Preserving MLClinical Risk Prediction

  10. Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems

    Jul 9, 2026Shuo Huai, Di Liu, Hao Kong +5Efficient Neural Network InferenceFederated Learning Aggregation

  11. Entropy-Guided Tensor Compression for Multimodal Federated Learning on Edge Devices

    Jul 7, 2026Quoc Bao Phan, Tuy Tan NguyenTensor NetworksMultimodal Federated Learning

  12. SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity

    Jul 5, 2026Liyang Yuan, Yibo Yang, Dandan Guo +2Non-IID Federated LearningFederated Learning

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

    Jul 5, 2026Zijian Wang, Pengfei Li, Guangyu Yang +1Latent Variable ModelsAdaptive Model Routing

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

    Jul 4, 2026Shuai Li, Qinglin Wang, Ping Luo +8Federated LearningHeterogeneous Federated Learning

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

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

  16. Federated Learning with Energy-Based Structured Probabilistic Inference

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

  17. FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks

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

  18. FedReLa: Imbalanced Federated Learning via Re-Labeling

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

  19. 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

  20. Fed-CausalDiff: Decoupled Synchronization for Federated Do-Simulation and Policy Evaluation

    Jun 21, 2026Pengfei Li, Mohammad KhalilPolicy EvaluationCausal Inference

  21. Distribution Alignment for One-Shot Federated Learning via Optimal Transport

    Jun 15, 2026Daniele Berardini, Vito Paolo Pastore, Vittorio MurinoDistribution MatchingOptimal Transport

  22. PreLort: Prefix-Nested LoRA for Federated Fine-Tuning under Rank Heterogeneity

    Jun 14, 2026Muhammad Waseem, Nurbek Tastan, Andrej Jovanovic +4Federated Learning AggregationLLM Fine-Tuning

  23. When Generator Replay Degrades: Projected Rehearsal Orchestration for Heterogeneous Federated Class-Incremental Learning

    Jun 14, 2026Thinh T. H. Nguyen, Khoa D. Doan, Binh T. Nguyen +2Class-Incremental LearningFederated Continual Learning

  24. HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning

    Jun 13, 2026Thinh T. H. Nguyen, Le-Tuan Nguyen, Minh-Duong Nguyen +4Federated Continual LearningNon-IID Federated Learning

  25. Federated Learning for Feature Generalization with Convex Constraints

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

  26. FedSPC: Shared Parameter Correction for Personalized Federated Learning

    Jun 11, 2026Kannanthodath Induchoodan Ajay Menon, Christian Prehofer, Yunfei Xu +1Non-IID Federated LearningFederated Learning

  27. Towards Personalized Federated Learning for Dysarthric Speech Recognition

    Jun 11, 2026Tao Zhong, Mengzhe Geng, Jiajun Deng +2Federated Learning AggregationAutomatic Speech Recognition

  28. From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning

    Jun 9, 2026Huong Nguyen, Mickaël Bettinelli, Amirhossein Ghaffari +4Non-IID Federated LearningFederated Learning