| MLitB: Machine Learning in the Browser | Dec 8, 2014 | BIG-bench Machine LearningDistributed Computing | CodeCode Available | 0 |
| ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies | Oct 21, 2021 | BIG-bench Machine LearningCloud Computing | CodeCode Available | 0 |
| FedSC: Federated Learning with Semantic-Aware Collaboration | Jun 26, 2025 | Contrastive LearningFederated Learning | CodeCode Available | 0 |
| FedScore: A privacy-preserving framework for federated scoring system development | Mar 1, 2023 | Federated LearningModel Selection | CodeCode Available | 0 |
| Differentially Private Learning Needs Better Model Initialization and Self-Distillation | Oct 23, 2024 | DiversityPrivacy Preserving | CodeCode Available | 0 |
| Differentially Private Knowledge Distillation via Synthetic Text Generation | Mar 1, 2024 | Knowledge DistillationModel Compression | CodeCode Available | 0 |
| Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset | Feb 21, 2022 | Privacy Preserving | CodeCode Available | 0 |
| FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy | May 3, 2024 | ClusteringConstrained Clustering | CodeCode Available | 0 |
| FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration | May 25, 2025 | Contrastive LearningEdge-computing | CodeCode Available | 0 |
| BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks | Feb 1, 2024 | Privacy Preserving | CodeCode Available | 0 |
