| DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries | May 27, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV | Aug 17, 2024 | CPUDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
| DPM: Clustering Sensitive Data through Separation | Jul 6, 2023 | ClusteringPrivacy Preserving | CodeCode Available | 0 | 5 |
| DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning | Aug 19, 2023 | Multi-agent Reinforcement LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud | Jun 2, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data | Jan 31, 2024 | Mortality PredictionPrivacy Preserving | CodeCode Available | 0 | 5 |
| DP-NMT: Scalable Differentially-Private Machine Translation | Nov 24, 2023 | Machine TranslationNMT | CodeCode Available | 0 | 5 |
| Federated Causal Discovery From Interventions | Nov 7, 2022 | Causal DiscoveryFederated Learning | CodeCode Available | 0 | 5 |
| Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees | Sep 4, 2022 | AttributeLink Prediction | 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 |
