| Differentially Private Knowledge Distillation via Synthetic Text Generation | Mar 1, 2024 | Knowledge DistillationModel Compression | CodeCode Available | 0 | 5 |
| BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT | Dec 5, 2024 | Federated LearningImitation Learning | CodeCode Available | 0 | 5 |
| Distributed Differentially Private Computation of Functions with Correlated Noise | Apr 22, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records | Jun 12, 2019 | De-identificationPrivacy Preserving | CodeCode Available | 0 | 5 |
| Dirichlet Mechanism for Differentially Private KL Divergence Minimization | Oct 3, 2021 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Disparate Impact on Group Accuracy of Linearization for Private Inference | Feb 6, 2024 | FairnessPrivacy Preserving | CodeCode Available | 0 | 5 |
| Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization | Dec 1, 2018 | Privacy Preserving | CodeCode Available | 0 | 5 |
| DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference | Mar 10, 2023 | Bayesian InferenceDrug Design | CodeCode Available | 0 | 5 |
| Model-Protected Multi-Task Learning | Sep 18, 2018 | modelMulti-Task Learning | CodeCode Available | 0 | 5 |
| Differentially Private Sliced Wasserstein Distance | Jul 5, 2021 | Domain AdaptationPrivacy Preserving | CodeCode Available | 0 | 5 |
