Federated Learning

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  1. FedTransKD-IDS: Robust Federated Transfer Learning with Knowledge Distillation for Intrusion Detection in IoT

    Aug 6, 2026Mohammad Hosssein Gholamrezazadeh, Ahmadreza MontazerolghaemAhmadreza MontazerolghaemIoT Intrusion DetectionCybersecurity

  2. DG-FedReuse: Proxy-Gradient-Gated Cached-Update Reuse with Matched Sparse Uplink Accounting

    Aug 5, 2026Rahil Aftab, Vineet Kumar Rakesh, Soumya Mazumdar +1Federated Learning AggregationCommunication-Efficient Distributed Training

  3. Attention, Anomalies! Handling Attention Layers in Unsupervised Federated Outlier Detection

    Aug 5, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Memory-Augmented Neural NetworksFederated Learning Aggregation

  4. Personalized Federated Sparse Adaptation of Time-Series Foundation Models

    Aug 5, 2026Priyanka Nihalchandani, Naman Srivastava, Varun Ojha +1Mixture of ExpertsTime Series Forecasting

  5. FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks

    Aug 4, 2026An Khanh Bui, Cong Thanh Nguyen, Hoang-Anh Pham +2Network Intrusion DetectionInternet of Things

  6. FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation

    Aug 4, 2026Shenghui Li, Thiemo VoigtFederated Learning AggregationCommunication-Efficient Distributed Training

  7. FedCARE: A Multi-Objective Personalised Federated Learning Framework for Smart Healthcare

    Aug 4, 2026Rojalini Tripathy, Padmalochan Bera, Shreya Ghosh +1Clinical Outcome PredictionFederated Learning

  8. FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations

    Aug 4, 2026Ziwu Liu, Inês Pinto Gouveia, Rehana Yasmin +2Communication-Efficient Distributed TrainingDecentralized Learning

  9. AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning

    Aug 4, 2026Shengyang Li, Yiting Dong, Liuyang Song +5Spiking Neural NetworksCross-Architecture Knowledge Distillation

  10. Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity

    Aug 4, 2026Chinmoy Mitra, Md. Mehedi Hasan Nipu, Mohammad Sakib Mahmood +2Federated Learning AggregationRUL Estimation

  11. Federated generative event models for tokenized electronic health records

    Aug 3, 2026Michael C. Burkhart, Luke Solo, Inhyeok Lee +8Clinical Outcome PredictionGenerative Modeling

  12. Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning

    Aug 3, 2026Yuan-Heng Tsai, Li-Hsing Yen, Yan-Wei ChenAlgorithmic FairnessClient Selection in Federated Learning

  13. CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning

    Aug 3, 2026Zijian Jiang, Chaoli Sun, Handing Wang +1Non-IID Federated LearningRepresentation Alignment

  14. Rethinking Personalized Reward Modeling for LLMs under Preference Heterogeneity via Group-Debiased Federated Learning

    Aug 3, 2026Seongyoon Kim, Boryeong Cho, Jihwan Oh +2Pairwise Preference LearningReward Modeling

  15. Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization

    Aug 2, 2026Furkan Bagci, Busra Tegin, Mohammad Kazemi +1Federated Learning AggregationNon-IID Federated Learning

  16. Reputation-driven Cooperation in Lattice-based Decentralized Federated Learning through Evolutionary Game Theory

    Aug 2, 2026Phuc Hoang Truong Huynh, Dung Tran Vinh, Khoa Duc Anh Lam +9Mechanism DesignEvolutionary Game Theory

  17. FL-OA: A Byzantine-Robust Federated Learning Framework with Outsourced Auditing for Intelligent Devices

    Aug 2, 2026Hongliang Zhang, Zhongyuan Yu, Fenghua Xu +3Byzantine-Robust Federated LearningFederated Learning

  18. Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical Imaging

    Aug 2, 2026Shengchao Chen, Ting ShuFederated UnlearningMedical Image Benchmarks

  19. Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation

    Aug 1, 2026Muhammad Irfan Khan, Eero Lehtonen, Joni Obradovic +4Federated Learning AggregationNon-IID Federated Learning

  20. Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks

    Aug 1, 2026Masoud Ghazikor, Zhou Ni, Morteza HashemiFederated Learning AggregationWireless Resource Allocation

  21. Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients

    Jul 31, 2026Shengkun Zhu, Jinshan Zeng, Zhihua Allen-Zhao +5Federated Learning AggregationFederated Fine-Tuning

  22. Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data

    Jul 30, 2026Pouya Rajabi, Mohsen TooraniFederated Learning AggregationPrivacy-Preserving ML

  23. Defending Against Backdoor Attacks via Alignment Checking in Model-Contrastive Federated Learning

    Jul 29, 2026Hongliang Zhang, Zhongyuan Yu, Guijuan Wang +4Federated Learning AggregationByzantine-Robust Federated Learning

  24. FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning

    Jul 29, 2026Zhaoyang Ma, Zhihao Wu, Xin Gao +3Federated Learning AggregationFederated Learning

  25. FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA

    Jul 29, 2026Donghang Duan, Xu Zheng, Lizong Zhang +2Federated Learning AggregationLLM Routing

  26. Where Physics Meets Privacy: Federated PINNs for Privacy-Preserving Brain Tumor Biomechanical Modeling

    Jul 28, 2026Mahmuda Akter Sristy, Md Al-Mahfuz Chowdhury, Momota Ahsana Meem +2Privacy-Preserving MLOncology

  27. Collaborative System Failure Prognostics via Federated Longitudinal-Survival Modeling

    Jul 28, 2026Fan Yang, Madelyn Weller, Dimuthu Fernando +2RUL EstimationSurvival Analysis

  28. SpeechLLM Meets Federated Learning for End-to-End ASR: English and Italian Case Studies

    Jul 28, 2026Mohamed Nabih Ali, Daniele Falavigna, Alessio BruttiAutomatic Speech RecognitionSpeech Language Models

  29. PIcsC: Partitioning-Induced Covariate Shift Correction

    Jul 28, 2026Behraj Khan, Behroz Mirza, Syed Ahmad Chan Bukhari +1Non-IID Federated LearningCovariate Shift