| Position: On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model Confidentiality | Oct 15, 2024 | PositionPrivacy Preserving | CodeCode Available | 0 |
| Backdoor Attack on Vertical Federated Graph Neural Network Learning | Oct 15, 2024 | Backdoor AttackFederated Learning | —Unverified | 0 |
| Data Quality Control in Federated Instruction-tuning of Large Language Models | Oct 15, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation | Oct 14, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Model-based Large Language Model Customization as Service | Oct 14, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 |
| CollabEdit: Towards Non-destructive Collaborative Knowledge Editing | Oct 12, 2024 | knowledge editingPrivacy Preserving | CodeCode Available | 0 |
| Power-Softmax: Towards Secure LLM Inference over Encrypted Data | Oct 12, 2024 | In-Context LearningInductive Bias | —Unverified | 0 |
| Privacy-Preserving Optimal State Estimation with Low Complexity via Cramér-Rao Lower Bound Approach | Oct 11, 2024 | Privacy PreservingState Estimation | —Unverified | 0 |
| Dynamic Fusion Strategies for Federated Multimodal Recommendations | Oct 11, 2024 | Multimodal RecommendationPrivacy Preserving | —Unverified | 0 |
| Privately Learning from Graphs with Applications in Fine-tuning Large Language Models | Oct 10, 2024 | Computational EfficiencyPrivacy Preserving | CodeCode Available | 0 |
