Federated Learning

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  1. A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems

    Apr 30, 2026Zawad Yalmie Sazid, Robert Abbas, Sasa MaricIntelligent Transportation SystemsNetwork Intrusion Detection

  2. FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning

    Apr 30, 2026Zhiqiang Kou, Junxiang Wu, Wenke Huang +8Multi-Label ClassificationFederated Learning

  3. Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning

    Apr 30, 2026Yuhua Wang, Qinnan Zhang, Xiaodong Li +6Privacy-Preserving MLDifferentially Private Federated Learning

  4. Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

    Apr 30, 2026Gaurang Sharma, Juha Pajula, Aada Illikainen +4Homomorphic EncryptionPrivacy-Preserving ML

  5. AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning

    Apr 30, 2026Zehui Tang, Yuchen Liu, Feihu HuangFederated Learning AggregationByzantine-Robust Federated Learning

  6. Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging

    Apr 29, 2026Zhaoyuan Cai, Xinglin ZhangFederated UnlearningMedical Imaging

  7. Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases

    Apr 29, 2026Gota MorishitaInverse Probability WeightingFederated Learning Aggregation

  8. SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning

    Apr 29, 2026Yimeng Shan, Zhaorui Zhang, Sheng Di +3Communication-Efficient Distributed TrainingLLM Fine-Tuning

  9. CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID

    Apr 29, 2026Fengchun Zhang, Qiang Ma, Liuyu Xiang +3Cross-Domain GeneralizationFederated Learning

  10. Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation

    Apr 29, 2026Martina Pavan, Matteo Caligiuri, Francesco Barbato +1Class-Imbalanced LearningSynthetic Data Augmentation

  11. Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization

    Apr 28, 2026Teetat Pipattaratonchai, Aueaphum AueawatthanaphisutPrivacy-Preserving MLFederated Learning

  12. Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification

    Apr 28, 2026Athanasios Papanikolaou, Athanasios Tziouvaras, Pavlos Stoikos +6Hierarchical Federated LearningPlant Disease Classification

  13. Subspace Optimization for Efficient Federated Learning under Heterogeneous Data

    Apr 28, 2026Shuchen Zhu, Zhengyang Huang, Yuqi Xu +1Non-IID Federated LearningFederated Learning

  14. FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices

    Apr 28, 2026Changyu Li, Shuanghong Huang, Jiashen Liu +5Federated Fine-TuningFederated Learning

  15. When To Adapt? Adapting the Model or Data in Federated Medical Imaging

    Apr 27, 2026Chamani Shiranthika, Parvaneh SaeediDomain AdaptationMedical Image Classification

  16. Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation

    Apr 27, 2026Huaicheng Li, Junhui Zhao, Haoyu Quan +1Communication-Efficient Distributed TrainingLow-Rank Adaptation

  17. Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

    Apr 25, 2026Prajwal Panth, Nishant NigamFederated Learning AggregationCommunication-Efficient Distributed Training

  18. Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy

    Apr 25, 2026Emre Ardıç, Yakup GençNon-IID Federated LearningDifferentially Private Federated Learning

  19. A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning

    Apr 25, 2026Daan Rosendal, Ana OprescuFederated Learning

  20. Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning

    Apr 25, 2026Wugeng Zheng, Ziwen Kan, Katie Wang +2Multimodal Federated LearningTime Series Imputation

  21. Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

    Apr 24, 2026Asim Ukaye, Mubarak Abdu-Aguye, Nurbek Tastan +1Federated Learning AggregationFederated Learning

  22. FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet

    Apr 24, 2026Thibault Pautrel, Florent Bouchard, Ammar Mian +1Federated Learning AggregationFederated Learning

  23. Federated Cross-Modal Retrieval with Missing Modalities via Semantic Routing and Adapter Personalization

    Apr 24, 2026Hefeng Zhou, Xuan Liu, Sicheng Chen +7Cross-Modal LearningMultimodal Federated Learning

  24. Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning

    Apr 23, 2026Amine BarrakFederated Learning AggregationCloud Computing

  25. Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach

    Apr 23, 2026Guilin Deng, Silong Chen, Yuchuan Luo +6Membership Inference AttacksPrivacy Leakage in Language Models

  26. FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels

    Apr 22, 2026Sina Gholami, Abdulmoneam Ali, Tania Haghighi +2Noisy-Label LearningLearning with Noisy Labels

  27. Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems

    Apr 22, 2026Beining Wu, Jun HuangMobile RoboticsFederated Continual Learning