| Distributed Differentially Private Computation of Functions with Correlated Noise | Apr 22, 2019 | BIG-bench Machine LearningPrivacy 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 |
| Analyze Gauss: Optimal Bounds for Privacy-Preserving Principal Component Analysis | May 1, 2014 | AttributePrivacy Preserving | CodeCode Available | 0 | 5 |
| A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging | Apr 28, 2025 | Federated LearningKolmogorov-Arnold Networks | CodeCode Available | 0 | 5 |
| Differential privacy for symmetric log-concave mechanisms | Feb 23, 2022 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Cooperative Network Learning for Large-Scale and Decentralized Graphs | Nov 3, 2023 | Graph LearningLink Prediction | CodeCode Available | 0 | 5 |
| FedSC: Federated Learning with Semantic-Aware Collaboration | Jun 26, 2025 | Contrastive LearningFederated Learning | CodeCode Available | 0 | 5 |
| Air Signing and Privacy-Preserving Signature Verification for Digital Documents | May 17, 2024 | Fingertip DetectionGesture Recognition | CodeCode Available | 0 | 5 |
| Differential Privacy at Risk: Bridging Randomness and Privacy Budget | Mar 2, 2020 | Privacy Preserving | CodeCode Available | 0 | 5 |
