| A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning | Jul 24, 2023 | Privacy 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 |
| Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine Learning | Dec 23, 2024 | 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 |
| Efficient and Privacy-Preserved Link Prediction via Condensed Graphs | Mar 15, 2025 | Link PredictionNode Classification | CodeCode Available | 0 | 5 |
| Empowering Data Mesh with Federated Learning | Mar 26, 2024 | Decision MakingFederated Learning | CodeCode Available | 0 | 5 |
| Exploring Federated Pruning for Large Language Models | May 19, 2025 | Privacy Preserving | CodeCode Available | 0 | 5 |
| FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning | Nov 16, 2021 | 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 |
| DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries | May 27, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
