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. Federated Deep Clustering Networks for High-Dimensional and Heterogeneous Data

    Sep 18, 2026Morris Stallmann, Charalampos S. Kouzinopoulos, Marcin Pietrasik +1Deep ClusteringFederated Learning

  2. FedeRICo: Federated Region-Influenced Coupling for Traffic Flow Prediction

    Sep 17, 2026Fermin Orozco, Man Luo, Johan WahlströmFederated Graph LearningSpatiotemporal Forecasting

  3. Opinion Dynamics-based Coalition Formation for Federated Learning in Heterogeneous IoT Systems

    Sep 17, 2026Mohammed El Hanjri, Anas Abouaomar, Hamidou Tembine +1Opinion DynamicsFederated Learning Aggregation

  4. FedFIbOS: Fisher Importance based Optimal Submodelling for Heterogeneous Federated Learning

    Sep 17, 2026Yasmeen Afzal, Jeremiah D. Deng, Haibo ZhangNon-IID Federated LearningFederated Learning

  5. Pathwise Individual Rationality in Federated Learning: A Mechanism-Architecture Co-Design

    Sep 13, 2026Amin Meghrazi, Srinivasan Parthasarathy, Andrew PerraultFederated LearningHeterogeneous Federated Learning

  6. High-Probability Convergence of SGD via Batched Updates

    Sep 11, 2026Feng Zhu, Robert W. Heath, Aritra MitraCommunication-Efficient Distributed TrainingStochastic Optimization Convergence

  7. A Differentially Private Federated Proximal Optimization Framework for Customer Churn Prediction in Heterogeneous Federated Telecom Networks

    Sep 11, 2026Joydeb Kumar Sana, Subrata Chakraborty, M M Manjurul IslamDifferentially Private Federated LearningTabular Prediction

  8. Modality-Decoupled Federated Learning for Privacy-Preserving Embodied Intelligence in 6G

    Sep 9, 2026Zhuodong Liu, Xiangyu Li, Chunhong Yuan +5Multimodal Federated LearningWireless Communications

  9. Geographically Regularized AUC-Maximizing Personalized Federated Learning

    Sep 8, 2026Mayu Hiraishi, Kensuke Tanioka, Toshio ShimokawaClinical Risk PredictionFederated Learning

  10. Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration

    Sep 7, 2026Xiao Ma, Hong Shen, Hui Tian +2Byzantine-Robust Federated LearningFederated Knowledge Distillation

  11. SeaCausal-FL: Federated Fuzzy Causal Learning for Maritime IoT Fault Diagnosis and Counterfactual Reasoning

    Sep 5, 2026Yuhang Qiu, Haihan Zhu, Koteeswaran Seerangan +6Fault DiagnosisFederated Learning

  12. FANS: Federated Adaptive Network Search Learning for Heterogeneous Devices

    Sep 5, 2026Jiaxin Zhang, Xingwei Wang, Bo Yi +6Federated LearningHeterogeneous Federated Learning

  13. CALM: Class-wise Agreement and Label-gated Disagreement Modulation for Decentralized Federated Learning

    Sep 5, 2026Yifan Ying, Qing TianFederated Knowledge DistillationNon-IID Federated Learning

  14. RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments

    Sep 4, 2026Quoc H. Nguyen, Ali Lafzi, Abhijeet Phatak +4Federated LearningHeterogeneous Federated Learning

  15. FedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification

    Sep 4, 2026Maryam Moradpour, Anne-Christin HauschildFederated Learning AggregationHeterogeneous Federated Learning

  16. Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning

    Sep 4, 2026Ming Xiang, Stratis Ioannidis, Edmund Yeh +2Federated LearningHeterogeneous Federated Learning

  17. Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity

    Sep 1, 2026Lei Wang, Jieming Bian, Letian Zhang +1Non-IID Federated LearningLow-Rank Adaptation

  18. Quantum Federated Learning Based on Bures--Uhlmann Geometry for Heterogeneous Noisy Clients

    Aug 28, 2026Haruki Emori, Masaki Uchihara, Yuuki TokunagaQuantum Machine LearningHeterogeneous Federated Learning

  19. Initialization Is Critical: Advancing Federated Short-Term Load Forecasting under Load Heterogeneity via Model Initialization

    Aug 28, 2026Jianing Chen, Vajiheh Farhadi, Yan Li +1Electricity Load ForecastingFederated Learning

  20. Active Client Selection in Federated Trajectory Prediction with Uncertainty-Awareness and Heterogeneous Complexity

    Aug 27, 2026Yiming Xie, Muzi Peng, Fei Miao +2Client Selection in Federated LearningTrajectory Prediction

  21. FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space

    Aug 21, 2026Jiahong Liu, Ram Samarth B B, Xinyu Fu +4Federated Graph LearningFederated Learning

  22. Adaptive Heterogeneous Compression for Resource-Efficient Federated Knowledge Distillation

    Aug 16, 2026Chenwang Liu, Yijun Liu, Chang Liu +2Federated Knowledge DistillationFederated Learning

  23. When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation

    Aug 16, 2026Wenhao Yuan, Chenchen Lin, Wentao Hu +4Split Federated LearningHeterogeneous Federated Learning

  24. UniFed-VLM: Federated Instruction Tuning for Vision-Language Models with Multiple Heterogeneity

    Aug 16, 2026Pengyu Wang, Baochen Xiong, Xiaoshan Yang +4Multimodal Federated LearningHeterogeneous Federated Learning

  25. FedPA-LoRA: Product-Aligned Framework for Mitigating Aggregation and Initialization Errors in Heterogeneous Federated LoRA

    Aug 15, 2026Juseok Jeon, Ramy E. Ali, Doyun Kwon +3Federated Fine-TuningFederated Learning

  26. MoE Router-Guided Clustering for Heterogeneous Federated Instruction Tuning

    Aug 15, 2026Ankita Sharma, Bahar Farahani, Sanaz Rahimi Moosavi +3Federated LearningHeterogeneous Federated Learning

  27. FedADB: Class Anchor-Driven Dual-Branch Federated Learning for Mitigating Forgetting

    Aug 15, 2026Zhenyan Liu, Hua Zhang, Haoran Gao +6Federated LearningHeterogeneous Federated Learning