| 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 |
| 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 |
| GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning | Aug 26, 2020 | Deep LearningPrivacy Preserving | —Unverified | 0 |
| Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs? | Jan 20, 2025 | Privacy PreservingSurvey | —Unverified | 0 |
| Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging | Jun 24, 2021 | Image GenerationPrivacy Preserving | —Unverified | 0 |
| Fairness-aware Federated Minimax Optimization with Convergence Guarantee | Jul 10, 2023 | FairnessFederated Learning | —Unverified | 0 |
| Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning | Jul 3, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Harvesting Private Medical Images in Federated Learning Systems with Crafted Models | Jul 13, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
