| Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) | Dec 20, 2023 | Computational EfficiencyPrivacy Preserving | CodeCode Available | 0 | 5 |
| Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls | Aug 14, 2023 | Federated Learninggraph partitioning | CodeCode Available | 0 | 5 |
| Aura: Privacy-preserving Augmentation to Improve Test Set Diversity in Speech Enhancement | Oct 8, 2021 | DiversityPrivacy Preserving | CodeCode Available | 0 | 5 |
| Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach | Aug 16, 2024 | Collaborative FilteringDecoder | CodeCode Available | 0 | 5 |
| A Universal Metric of Dataset Similarity for Cross-silo Federated Learning | Apr 29, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Personalized Federated Learning via Stacking | Apr 16, 2024 | Federated LearningPersonalized Federated Learning | CodeCode Available | 0 | 5 |
| DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks | Mar 23, 2020 | Activity RecognitionAttribute | CodeCode Available | 0 | 5 |
| Achieving Model Fairness in Vertical Federated Learning | Sep 17, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 0 | 5 |
| PixelFade: Privacy-preserving Person Re-identification with Noise-guided Progressive Replacement | Aug 10, 2024 | Person Re-IdentificationPrivacy 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 |
