| Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients | Jul 7, 2024 | Federated LearningKnowledge Distillation | —Unverified | 0 |
| GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model | Jun 23, 2025 | Federated LearningLanguage Modeling | —Unverified | 0 |
| Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing | Jul 30, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Graph-Homomorphic Perturbations for Private Decentralized Learning | Oct 23, 2020 | Privacy PreservingStochastic Optimization | —Unverified | 0 |
| Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs | Feb 1, 2022 | Graph LearningPrivacy Preserving | —Unverified | 0 |
| Grounding Foundation Models through Federated Transfer Learning: A General Framework | Nov 29, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Bayesian Federated Learning: A Survey | Apr 26, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| GTV: Generating Tabular Data via Vertical Federated Learning | Feb 3, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Guaranteed Privacy-Preserving H_-Optimal Interval Observer Design for Bounded-Error LTI Systems | Sep 25, 2023 | Privacy Preserving | —Unverified | 0 |
| Concentrated Differentially Private and Utility Preserving Federated Learning | Mar 30, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
