| 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 |
| Differentially-Private Heat and Electricity Markets Coordination | Jan 25, 2022 | Privacy PreservingTime Series | —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 |
| Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models | Jan 12, 2024 | Federated LearningPrivacy Preserving | —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 |
| Hashmarks: Privacy-Preserving Benchmarks for High-Stakes AI Evaluation | Dec 1, 2023 | FormLanguage Modeling | —Unverified | 0 |
| Federated In-Context LLM Agent Learning | Dec 11, 2024 | Federated LearningIn-Context Learning | —Unverified | 0 |
