| Label Privacy in Split Learning for Large Models with Parameter-Efficient Training | Dec 21, 2024 | Federated Learningparameter-efficient fine-tuning | CodeCode Available | 0 |
| CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference | Dec 21, 2024 | BinarizationKnowledge Distillation | —Unverified | 0 |
| Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions | Dec 21, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Benchmarking LLMs and SLMs for patient reported outcomes | Dec 20, 2024 | BenchmarkingPrivacy Preserving | —Unverified | 0 |
| FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks | Dec 20, 2024 | Graph AttentionGraph Learning | —Unverified | 0 |
| Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation | Dec 20, 2024 | DenoisingFederated Learning | —Unverified | 0 |
| Clio: Privacy-Preserving Insights into Real-World AI Use | Dec 18, 2024 | Privacy Preserving | —Unverified | 0 |
| Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models | Dec 18, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning | Dec 18, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Towards privacy-preserving cooperative control via encrypted distributed optimization | Dec 18, 2024 | Distributed OptimizationPrivacy Preserving | —Unverified | 0 |
