| FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology | Feb 24, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| RVE-PFL: Robust Variational Encoder-based Personalised Federated Learning against Model Inversion Attacks | Feb 22, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| opp/ai: Optimistic Privacy-Preserving AI on Blockchain | Feb 22, 2024 | Computational EfficiencyPrivacy Preserving | —Unverified | 0 |
| Privacy-Preserving Instructions for Aligning Large Language Models | Feb 21, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 |
| On the Conflict of Robustness and Learning in Collaborative Machine Learning | Feb 21, 2024 | Privacy Preserving | —Unverified | 0 |
| Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records | Feb 21, 2024 | Privacy PreservingSynthetic Data Generation | —Unverified | 0 |
| Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources -- A Case Study on Federated Fine-tuning of LLaMA 2 | Feb 19, 2024 | Cloud ComputingFederated Learning | —Unverified | 0 |
| Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models | Feb 19, 2024 | Privacy Preserving | CodeCode Available | 0 |
| Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports | Feb 19, 2024 | Privacy Preserving | —Unverified | 0 |
| Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources | Feb 18, 2024 | Federated Learningparameter-efficient fine-tuning | —Unverified | 0 |