| Practical Locally Private Federated Learning with Communication Efficiency | Jan 1, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing | Jun 26, 2023 | Federated LearningGPR | —Unverified | 0 |
| Practical Privacy Preserving POI Recommendation | Mar 5, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Practical quantum federated learning and its experimental demonstration | Jan 22, 2025 | Federated LearningModel Compression | —Unverified | 0 |
| Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices | Mar 19, 2025 | Privacy Preserving | —Unverified | 0 |
| PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy | Oct 22, 2021 | Federated LearningModel Poisoning | —Unverified | 0 |
| Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy | Aug 24, 2020 | BIG-bench Machine LearningEthics | —Unverified | 0 |
| Preconditioned Federated Learning | Sep 20, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| The Cost of Privacy in Asynchronous Differentially-Private Machine Learning | Mar 18, 2020 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| Preserving Privacy and Utility in LLM-Based Product Recommendations | May 2, 2025 | Collaborative FilteringLarge Language Model | —Unverified | 0 |
