Federated Learning

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  1. Analysis of Federated Aggregation under Model Poisoning and Backdoor Attacks: A Reconstructed Cross-Dataset and Cross-Architecture Benchmark

    Aug 11, 2026Soumya Mazumdar, Vineet Kumar Rakesh, Tapas SamantaFederated Learning AggregationByzantine-Robust Federated Learning

  2. FedCGR: Federated Cross-Domain Generative Recommendation

    Aug 11, 2026Zhuodong Liu, Hugen Lv, Xiangyu Li +2Recommender SystemsGenerative Recommendation

  3. Federated Learning for Distributed CNC Tool Wear Prediction

    Aug 11, 2026Afsana Khan, Morris Stallmann, Marcin Pietrasik +2ManufacturingPredictive Maintenance

  4. SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks

    Aug 10, 2026Yue Xia, Tayyebeh Jahani-Nezhad, Mayank Bakshi +1Federated Learning AggregationLow-Rank Adaptation

  5. DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning

    Aug 10, 2026Mainak Singha, Niccolò Biondi, Elisa Ricci +1Mixture-of-Experts Language ModelsVLM Adaptation

  6. Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive Approach

    Aug 10, 2026Xinyi Xu, Bingnan Xiao, Shuang Qin +2LLM Fine-TuningLow-Rank Adaptation

  7. FedOrbit: Adaptive Personalized Federated Learning for Non-IID LEO Satellite Constellations

    Aug 10, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalHierarchical Federated LearningFederated Learning Aggregation

  8. MaxModShift: Model Privacy via Designed Shifts

    Aug 10, 2026Nomaan A. Kherani, Urbashi MitraModel Extraction AttacksPrivacy-Preserving ML

  9. Targeted Label-Flipping and Oversampling Attacks on Federated Conditional GANs

    Aug 10, 2026Panav Shah, Avishek GhoshAdversarial AttacksData Poisoning Attacks

  10. Multimodal Federated Learning under Dual-Axis Modality Missingness

    Aug 10, 2026Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin +5Multimodal Federated LearningMissing-Modality Learning

  11. FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning

    Aug 10, 2026Radwan Selo, Majid Kundroo, Taehong KimClass-Imbalanced LearningNon-IID Federated Learning

  12. FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning

    Aug 10, 2026Van Truong Vo, Khoa Nguyen, Taehong KimNon-IID Federated LearningFederated Learning

  13. F2STNet: Fair and Federated Spectral-Temporal Modeling for Graph Forecasting

    Aug 10, 2026Jiayi Zhang, Jinfeng Xu, Hewei Wang +7Federated Learning AggregationFederated Graph Learning

  14. Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes

    Aug 10, 2026Jae Ho Chang, Arnab Auddy, Subhadeep PaulEmpirical BayesFederated Learning

  15. Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection

    Aug 9, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Federated Learning AggregationAutoencoders

  16. Robust Reputation-Driven Crowdsourced Federated Learning

    Aug 9, 2026Mouhamed Amine Bouchiha, Gregory BlancByzantine-Robust Federated LearningBackdoor Attacks

  17. Out-of-Distribution Federated Distillation with Domain-Aware Proxy

    Aug 9, 2026Jiahao Xiao, Jiangming LiuOOD GeneralizationFederated Knowledge Distillation

  18. Sheaf-Based Federated Representation Learning

    Aug 8, 2026Gabriele D'Acunto, Enrico Grimaldi, Valeria Avino +4Federated LearningHeterogeneous Federated Learning

  19. EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models

    Aug 8, 2026Matteo Caligiuri, Francesco Barbato, Pietro Zanuttigh +1Federated Knowledge DistillationCross-Architecture Knowledge Distillation

  20. Hierarchical Multi-Task Federated Learning in VANETs

    Aug 8, 2026M. Saeid HaghighiFard, Sinem ColeriHierarchical Federated LearningCommunication-Efficient Distributed Training

  21. FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity

    Aug 7, 2026Deepank Girish, Yi Hao Chan, Yubin Zheng +2Functional ConnectivityMedical Diagnosis

  22. TOFD: Target-Oriented Feature Decoupling against Poisoning Attacks in Split Federated Learning

    Aug 7, 2026Yuhan Xie, Jingrong Huang, Chen LyuAdversarial RobustnessSplit Federated Learning

  23. Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning

    Aug 7, 2026Alireza MoayedikiaNon-IID Federated LearningFederated Learning

  24. FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks

    Aug 7, 2026Majid Kundroo, Tinku Singh, Taehong KimFederated Learning AggregationNon-IID Federated Learning

  25. Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

    Aug 6, 2026Devharsh Trivedi, Nesrine Kaaniche, Nikos Triandopoulos +2Federated Learning AggregationByzantine-Robust Federated Learning

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

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

  27. 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

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

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