Privacy-Preserving Federated Learning

Latest papers

CardsList

51 papers8 papers in the last four weeks, up 33% on the four weeks before. 0.1% of all new papers.

  1. FedXCrop: Privacy-Preserving Crop Disease Detection via Federated Learning with Post-Aggregation Explainability under Non-IID Farm Distributions

    Nov 4, 2026Kriti Saini, Manikandan PPlant Disease ClassificationFederated Learning

  2. A Novel Federated Learning Framework for Defending Against Gradient Inversion Attacks

    Nov 2, 2026Pengxin Guo, Ziying Huang, Shuang Zeng +4Privacy-Preserving Federated LearningFederated Learning

  3. VeilFL: Two-Stage Accountability for Anonymous Federated Learning

    Oct 31, 2026Varesh Mishra, Aysajan Abidin, Bart PreneelPrivacy-Preserving Federated LearningFederated Learning

  4. Trustworthy Distributed Machine Learning in Cloud-Edge-IoT Systems: A Heterogeneity-Aware Survey of Security, Privacy, and Robustness

    Oct 28, 2026Long Dang, Ali Alfatemi, Kaiqi Xiong +4Privacy-Preserving Federated LearningTrust-Aware Federated Learning

  5. Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization

    Oct 26, 2026Shreya Meel, Sennur Ulukus, Itzhak TamoAdaptive Aggregation in Federated LearningPrivacy-Preserving Federated Learning

  6. When Human Corrections Travel: Safety in Federated VLA Adaptation

    Oct 23, 2026Vigneshwaran Subbaraju, Obaidullah Zaland, Monowar BhuyanVLA Model AdaptationHuman-in-the-Loop AI

  7. Evolving Federated Density Peak Clustering with Shuffler-Based Anonymization

    Oct 22, 2026Miha Ožbot, Seiichi Ozawa, Igor ŠkrjancClusteringFederated Learning

  8. PCHMR: Empowering and Benchmarking Human Mesh Recovery in Privacy-Constrained Real-World Settings

    Oct 17, 2026Zeyu Cao, Qingxuan Wu, Zhiyang Dou +6Human Mesh RecoveryFederated Learning

  9. PVBRF-ID: Private, Verifiable and Byzantine-Robust Federated Intrusion Detection for Oilfield Enterprise Networks

    Oct 8, 2026Mustafa S. Aljumaily, Ali Ataeemh Allami, Mustafa N. Mnati +2Adaptive Aggregation in Federated LearningPrivacy-Preserving Federated Learning

  10. HE-OFT: Privacy-Preserving One-Shot Federated Fine-Tuning under Homomorphic Encryption

    Oct 6, 2026Halil İbrahim Kanpak, Sinem Sav, Alptekin KüpçüPrivacy-Preserving MLFederated Fine-Tuning

  11. PoCoFL: POlicy-COmpliant Federated Learning

    Oct 2, 2026Dominik Roy George, Varesh Mishra, Aysajan AbidinFederated LearningPrivacy-Preserving Federated Learning

  12. Federated Agent Optimization

    Oct 1, 2026Qiang Yang, Zhiqiang Kou, Xueyi Zhang +6Privacy-Preserving Federated LearningLLM Agent Training

  13. Aegis: Generative Gradient Masking for Privacy-Preserving Medical Federated Learning

    Sep 29, 2026Chaoyu Zhang, Shanghao Shi, Heng Jin +3Privacy-Preserving Federated LearningModel Inversion Attacks

  14. Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication

    Sep 14, 2026Yilin Xu, Chun Hei Michael Shiu, Chih Wei Ling +1Communication-Efficient Distributed TrainingDifferentially Private Federated Learning

  15. Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation

    Sep 1, 2026Miguel Morona-Mínguez, Fernando Pérez-González, Alberto Pedrouzo-UlloaFederated Learning AggregationHomomorphic Encryption

  16. SecureDrive-FL: Joint Differential Privacy and Gradient-Aware Selective Homomorphic Encryption for Federated Driver Monitoring

    Aug 27, 2026Baran Can Gül, Hanuma Siddhartha Tunuguntla, Anjana Arvind Naik +3Privacy-Preserving Federated LearningDifferentially Private Federated Learning

  17. GCA: Global Centroid Alignment in Federated Learning

    Aug 23, 2026Jong-Ik Park, Harry Jiang, Logan Blakely +3Privacy-Preserving Federated LearningFederated Learning

  18. Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions

    Aug 14, 2026Qinglin Yang, Chen Qiu, Hongyuan Zhang +3Federated LearningPrivacy-Preserving Language Models

  19. EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models

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

  20. Benchmark Evaluation of Feredated Learning on Multi-organ Images

    Jul 9, 2026Junbin Mao, Xu Tian, Jianchun Zhu +2Privacy-Preserving Federated LearningMedical Image Analysis

  21. Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning

    Jul 8, 2026Maximilian Andreas Hoefler, Karsten Mueller, Wojciech SamekNon-IID Federated LearningFederated Learning

  22. Privacy-preserving federated tensor decomposition of single-cell immune data: recovering multicellular programs across institutions

    Jun 22, 2026Axel Faes, Stephanie M. van den Berg, Maryam Amir HaeriFederated Learning AggregationPrivacy-Preserving Federated Learning

  23. IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning

    Jun 1, 2026Farhin Farhad Riya, Olivera Kotevska, Jinyuan Stella SunFederated Learning AggregationPrivacy-Preserving ML