| Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning | Jul 14, 2020 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Complex-valued Federated Learning with Differential Privacy and MRI Applications | Oct 7, 2021 | Federated LearningMRI Reconstruction | —Unverified | 0 | 0 |
| Complement Sparsification: Low-Overhead Model Pruning for Federated Learning | Mar 10, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Artificial Intelligence at the Edge | Dec 10, 2020 | Autonomous VehiclesEdge-computing | —Unverified | 0 | 0 |
| Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare | Dec 23, 2020 | Binary ClassificationClassification | —Unverified | 0 | 0 |
| Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning | Oct 2, 2023 | Model CompressionPrivacy Preserving | —Unverified | 0 | 0 |
| Large-Scale Secure XGB for Vertical Federated Learning | May 18, 2020 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 | 0 |
| Comparative assessment of federated and centralized machine learning | Feb 3, 2022 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 | 0 |
| Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports | May 29, 2025 | DescriptiveDiagnostic | —Unverified | 0 | 0 |
| Identifying Backdoor Attacks in Federated Learning via Anomaly Detection | Feb 9, 2022 | Anomaly DetectionFederated Learning | —Unverified | 0 | 0 |
