| DP-EM: Differentially Private Expectation Maximization | May 23, 2016 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Federated Causal Inference from Observational Data | Aug 24, 2023 | Causal InferenceFederated Learning | CodeCode Available | 0 | 5 |
| A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection | Jul 23, 2019 | BIG-bench Machine LearningFederated Learning | 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 |
| Domain Adaptation from Scratch | Sep 2, 2022 | Active LearningDomain Adaptation | CodeCode Available | 0 | 5 |
| Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation | Jul 14, 2025 | Domain AdaptationFederated Learning | CodeCode Available | 0 | 5 |
| DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM | Jun 28, 2019 | Privacy PreservingStochastic Optimization | CodeCode Available | 0 | 5 |
| DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries | May 27, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods | Oct 30, 2023 | Privacy PreservingSystematic Literature Review | CodeCode Available | 0 | 5 |
| Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions | Jul 5, 2024 | ClusteringPrivacy Preserving | CodeCode Available | 0 | 5 |
