| Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications | Jan 21, 2025 | Privacy Preserving | —Unverified | 0 | 0 |
| GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model | Jun 23, 2025 | Federated LearningLanguage Modeling | —Unverified | 0 | 0 |
| Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation | Mar 12, 2022 | Federated LearningHyperparameter Optimization | —Unverified | 0 | 0 |
| Graph-Homomorphic Perturbations for Private Decentralized Learning | Oct 23, 2020 | Privacy PreservingStochastic Optimization | —Unverified | 0 | 0 |
| Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs | Feb 1, 2022 | Graph LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Grounding Foundation Models through Federated Transfer Learning: A General Framework | Nov 29, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| An Efficient DP-SGD Mechanism for Large Scale NLP Models | Jul 14, 2021 | GPUNatural Language Understanding | —Unverified | 0 | 0 |
| Advancements in Federated Learning: Models, Methods, and Privacy | Feb 22, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Guaranteed Privacy-Preserving H_-Optimal Interval Observer Design for Bounded-Error LTI Systems | Sep 25, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration | Dec 6, 2022 | Privacy Preserving | —Unverified | 0 | 0 |
