Privacy-Preserving Federated Learning

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38 papers7 papers in the last four weeks, up 40% on the four weeks before. 0.0% of all new papers.

  1. 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

  2. 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 +2Privacy-Preserving Federated LearningFederated Learning

    Daw Alfada Company, Amarah, Maysan, Iraq · University of Misan, Amarah, Maysan, Iraq · University of Southern Queensland, Toowoomba, QLD, Australia

  3. 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

    Department of Computer Engineering, Kocı University, İstanbul, Türkiye · Department of Computer Engineering, Bilkent University, Ankara, Türkiye

  4. PoCoFL: POlicy-COmpliant Federated Learning

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

    COSIC, KU Leuven, Belgium

  5. Federated Agent Optimization

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

    The Hong Kong Polytechnic University, Hong Kong SAR, China · National University of Singapore, Singapore · The University of Tokyo, Japan +2

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

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

    Virginia Tech · Washington University in St. Louis · University of South Florida

  7. OPFL: Optimistic Verification of Federated Learning via Empirical Boundary

    Sep 29, 2026Hongxu Su, Jianzhu Yao, Xuechao Wang +1Federated LearningPrivacy-Preserving Federated Learning

  8. Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach

    Sep 18, 2026Carlos Cano, Daniel M. Jimenez-Gutierrez, Diego Sal +4Privacy-Preserving Federated LearningQuantum Federated Learning

  9. 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

    Department of Computer Science, City University of Hong Kong · Department of Electrical and Computer Engineering, University of British Columbia · School of Computer Science and Engineering, Hebrew University of Jerusalem

  10. 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

    aatlanTTic, Universidade de Vigo, Escola de Enxeñaría de Telecomunicación, Vigo, 36310, Galicia, Spain

  11. Private Computation Space: Experience with Trusted Multi-Cluster Federated Learning for Agriculture

    Sep 1, 2026Shuangyu Lei, Muhammad Salman Abid, Jacob Belding +17Privacy-Preserving Federated LearningFederated Learning

    Cornell University USA

  12. 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

    Institute of Industrial Automation and Software Engineering, University of Stuttgart, Stuttgart, Germany · EngD Automotive Systems Design, Eindhoven University of Technology (TU/e), Eindhoven, The Netherlands

  13. GCA: Global Centroid Alignment in Federated Learning

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

    Carnegie Mellon University · Sandia National Laboratories

  14. An Adaptive Gradient Clipping and Noise Injection Mechanism for Differentially Private Federated Learning

    Aug 15, 2026Wenjing Wei, Alla Jammine, Farid Nait-AbdesselamPrivacy-Preserving Federated LearningDifferentially Private Federated Learning

    Universit´e Paris Cit´e

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

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

    Cyberspace Institute of Advanced Technology, Guangzhou University; Guangdong Key Laboratory of Industrial Control System Security; Huangpu Research School of Guangzhou University, Guangzhou, Guangdong, China · Iwate Biotechnology Research Center, Iwate, Japan · Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China

  16. EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models

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

    Department of Electrical & Computer Engineering, Northeastern University, Boston (MA), United States · Department of Information Engineering, University of Padua, Padua, Italy

  17. Multi-Agent Privacy Game in Federated Learning: A Unified Mean-Field View

    Jul 25, 2026Kun Zhao, Xu ChenMean Field GamesPrivacy-Preserving Federated Learning

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

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

    Hunan Provincial Key Laboratory on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China · Xinjiang Engineering Research Center of Big Data and Intelligent Software, School of software, Xinjiang University, Urumqi, 830008, China

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

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

    Fraunhofer Heinrich Hertz Institute · BIFOLD Technical University Berlin

  20. 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

    Data Science Institute, Hasselt University, Belgium · University of Twente, The Netherlands · Learning, Data Analytics and Technology, University of Twente, The Netherlands

  21. Fed-FBD: Federated Functional Block Diversification for Isolation, Privacy, and Surgical Unlearning

    Jun 10, 2026Weijie Chen, Alan B. McMillanFederated UnlearningByzantine-Robust Federated Learning

    Department of Radiology, University of Wisconsin–Madison

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

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

    University of Tennessee, Knoxville, USA · Oak Ridge National Laboratory, USA

  23. GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning

    May 31, 2026Daniel M. Jimenez-Gutierrez, Albenzio Cirillo, Raffaele Nicolussi +2Privacy-Preserving Language ModelsConversational Agents

    Sapienza University of Rome, Via Ariosto 25, 00185 Rome, Italy · Fondazione Ugo Bordoni, Viale del Policlinico 147, 00161 Rome, Italy

  24. FIRMA: FIbonacci Ring Model Aggregation for Privacy-preserving Federated Learning

    May 21, 2026Rachid HedjamFederated Learning AggregationNon-IID Federated Learning

    Department of Computer Science Bishop’s University Sherbrooke, Qc, Canada

  25. Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning

    May 18, 2026Arnab Auddy, Xiangni Peng, Subhadeep PaulFederated Learning AggregationCommunication-Efficient Distributed Training

    Department of Statistics · The Ohio State University

  26. Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning

    May 7, 2026Myoungjun Kim, Sangwoo Park, Yoseob Han +1Differentially Private Federated LearningFederated Learning

    Myongji University · King’s College London · Soongsil University

  27. Distributed Deep Variational Approach for Privacy-preserving Data Release

    May 4, 2026Zahir Alsulaimawi, Huaping LiuInformation BottleneckPrivacy-Preserving ML

  28. Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning

    May 4, 2026Judith Sáinz-Pardo Díaz, Álvaro López GarcíaPrivacy-Preserving MLDifferentially Private Federated Learning

  29. Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation

    Apr 22, 2026Jie Xu, Haaris Mehmood, Rogier Van Dalen +2Federated Learning AggregationNon-IID Federated Learning

    Samsung R&D Institute UK (SRUK) · Samsung AI Centre Cambridge

  30. Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers

    Apr 21, 2026Daniel M. Jimenez-Gutierrez, Dario Pighin, Enrique Zuazua +4Privacy-Preserving MLFederated Learning