Differentially Private Federated Learning

Ask about this topic

Momentum

5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 29

All topics
CardsList

  1. Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins

    Oct 6, 2026Damini RijhwaniHealthcareDifferentially Private Federated Learning

    Automation Core Inc., Cambridge, MA, USA

  2. SPADE-DFL: Communication-Efficient Decentralized Federated Learning via Derivative-Free Linearized ADMM

    Sep 24, 2026Mengli Wei, Mengkai Zhu, Jiawen Chen +2Communication-Efficient Distributed TrainingBlack-Box Optimization

    School of Mathematics, Southeast University, Nanjing 210096, China

  3. 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

  4. Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation

    Sep 14, 2026Zhen Zhong, Shini Yang, Liesheng WeiFederated Learning AggregationAsynchronous Federated Learning

    Georgetown University, Washington, D.C., USA · Georgetown University, Washington,D.C, USA · LinkedIn, CA, USA +1

  5. A Differentially Private Federated Proximal Optimization Framework for Customer Churn Prediction in Heterogeneous Federated Telecom Networks

    Sep 14, 2026Joydeb Kumar Sana, Subrata Chakraborty, M M Manjurul IslamDifferentially Private Federated LearningTabular Prediction

    Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh · School of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, NSW, Australia · Intelligent Systems Research Centre, Ulster University, Londonderry BT48 7JL, UK

  6. Component-Aware Differential Privacy for Federated Multilingual Speech-LLMs

    Sep 11, 2026Jordi Luque, Fernando López, Aleix SantPrivacy-Preserving Language ModelsDifferentially Private Federated Learning

    Scientific Research Telef´onica Innovaci´on Digital Barcelona, Spain · Telef´onica Innovaci´on Digital Universidad Aut´onoma de Madrid Madrid, Spain · Scientific Research Telef´onica Innovaci´on Digital Universitat Polit`ecnica de Catalunya Barcelona, Spain

  7. Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

    Sep 3, 2026Michael Khavkin, Kichang Lee, Jaeho Jin +2Differentially Private Federated LearningDifferential Privacy

    School of Industrial & Intelligent Systems Engineering, Tel Aviv University · School of Integrated Technology, Yonsei University

  8. Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface

    Sep 3, 2026Adrita Rahman Tory, ABM Shawkat Ali, Md Abu Layek +1Class-Imbalanced LearningFederated Learning Aggregation

    Bangladesh University of Business and Technology (BUBT), Mirpur-2, Dhaka-1216, Bangladesh · Jagannath University, Dhaka, Bangladesh · University of New South Wales (UNSW), ACT 2601, Australia

  9. Differentially private federated learning with Byzantine-robust aggregation: A cross-domain framework for secure model training in banking and healthcare systems

    Sep 2, 2026Srikumar NayakFederated Learning AggregationByzantine-Robust Federated Learning

    Advanced Artificial Intelligence (AI) Engineering and Cybersecurity Threat Research, LTIMindtree Research, New York City, NY, USA

  10. Towards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach

    Jul 23, 2026Yuhua Wang, Xiaodong Li, Yihao Guo +6VLM AdaptationDifferentially Private Federated Learning

    School of Artificial Intelligence, Beihang University Beijing, China · Center for the Applied Statistics, School of Statistics, Renmin University of China Beijing, China · School of Computer Science & Technology, Beijing Jiaotong University Beijing, China +2

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

    Jul 8, 2026Maximilian Andreas Hoefler, Karsten Mueller, Wojciech SamekFederated Learning AggregationSynthetic Data Generation

    Fraunhofer Heinrich Hertz Institute · BIFOLD Technical University Berlin

  12. Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork

    Jun 25, 2026Naoki Nishikawa, Shokichi Takakura, Satoshi HasegawaPrivacy-Preserving MLDifferentially Private Federated Learning

    The University of Tokyo · LY Corporation

  13. Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning

    Jun 15, 2026Xiaolin Li, Ning Wang, Ninghui Li +1Backdoor Attacks in Federated LearningDifferentially Private Federated Learning

    Purdue University West Lafayette, IN, USA · University of South Florida Tampa, FL, USA

  14. DPDL: Towards Differential Privacy Preservation in Decentralized Stochastic Learning on Non-IID Data

    Jun 3, 2026Yunsheng Yuan, Xue Xiao, Lina Wang +1Decentralized LearningPrivacy-Preserving ML

    School of Computer Science and Technology, Shandong University, Qingdao 266237, China · Inspur Cloud Information Technology Co, Ltd.

  15. 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

  16. Canonicalized Stable-List Replay for Private Federated Continual Learning over Language-Model Embeddings

    May 29, 2026Ibne Farabi Shihab, Abu Sa-Adat Mohamed Moon-Im Al Ahsan, Anuj SharmaFederated Continual LearningReplay-Based Continual Learning

    Department of Computer Science, Iowa State University · Department of Computer Science & Engineering, BRAC University · Department of Civil, Construction & Environmental Engineering, Iowa State University

  17. A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning

    May 19, 2026T. Tony Cai, Yicheng LiDifferentially Private Federated LearningDifferential Privacy

    Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA. · KLATASDS-MOE, School of Statistics, East China Normal University, Shanghai, China.

  18. FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data

    May 18, 2026Nuredin Ali Abdelkadir, Anjali Ratnam, Zeerak Talat +1Depression DetectionMental Health

    University of Minnesota · University of Edinburgh

  19. 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

  20. DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models

    May 11, 2026Haaris Mehmood, Jie Xu, Karthikeyan Saravanan +2Privacy-Preserving Language ModelsDifferentially Private Stochastic Gradient Descent

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

  21. UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment

    May 8, 2026Shih-Yu Lai, Hirozumi Yamaguchi, Shang-Tse Chen +2Multimodal Federated LearningFederated Learning Aggregation

    National Taiwan University · RIKEN-CCS · The University of Osaka +1

  22. Modulated learning for private and distributed regression with just a single sample per client device

    May 8, 2026Praneeth Vepakomma, Amirhossein Reisizadeh, Samuel Horváth +1Differentially Private Federated LearningDifferential Privacy

    Massachusetts Institute of Technology (MIT) · Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

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

    May 7, 2026Myoungjun Kim, Sangwoo Park, Yoseob Han +1Federated Learning AggregationLow-Rank Adaptation

    Myongji University · King’s College London · Soongsil University

  24. 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

  25. 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

    School of Artificial Intelligence, Beihang University · School of Statistics, Renmin University of China · School of Computer Science and Engineering, Beihang University

  26. 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

    Department of Computer Engineering, Gebze Technical University, Gebze, Kocaeli 41400, Türkiye

  27. 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

  28. An Adaptive Differentially Private Federated Learning Framework

    Feb 6, 2026Jin Wang, Hui Ma, Yajun Zhang +4Non-IID Federated LearningDifferentially Private Federated Learning

    Xinjiang Key Laboratory of Intelligent Computing and Smart Applications, School of Software, Xinjiang University, Urumqi 830017, China · College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, China · Jilin University, Changchun 130012, China

  29. Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI

    May 28, 2025Santhosh Parampottupadam, Melih Coşğun, Sarthak Pati +7Federated Learning AggregationDifferentially Private Stochastic Gradient Descent

    German Cancer Research Center (DKFZ), Division of Medical Image Computing, Heidelberg, Germany · Department of Computer Engineering, Bilkent University, Universiteler 06800 Çankaya/Ankara, Türkiye · Medical Research Group, MLCommons, San Francisco, CA, USA +2