| Exploring Federated Pruning for Large Language Models | May 19, 2025 | Privacy Preserving | CodeCode Available | 0 | 5 |
| An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models | Feb 11, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning | Jun 7, 2022 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification | Nov 29, 2021 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| CECILIA: Comprehensive Secure Machine Learning Framework | Feb 7, 2022 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning | May 25, 2025 | Federated LearningPrediction | CodeCode Available | 0 | 5 |
| Hide Your Model: A Parameter Transmission-free Federated Recommender System | Nov 25, 2023 | Privacy PreservingRecommendation Systems | CodeCode Available | 0 | 5 |
| Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data | Sep 18, 2022 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Estimating Model Performance on External Samples from Their Limited Statistical Characteristics | Feb 28, 2022 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) | Dec 20, 2023 | Computational EfficiencyPrivacy Preserving | CodeCode Available | 0 | 5 |
