Summary of Hybrid Rag-empowered Multi-modal Llm For Secure Data Management in Internet Of Medical Things: a Diffusion-based Contract Approach, by Cheng Su et al.
Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach
by Cheng Su, Jinbo Wen, Jiawen Kang, Yonghua Wang, Yuanjia Su, Hudan Pan, Zishao Zhong, M. Shamim Hossain
First submitted to arxiv on: 1 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a hybrid framework for managing healthcare data in the Internet of Medical Things (IoMT) using Multi-modal Large Language Models (MLLMs). The framework, called Retrieval-Augmented Generation (RAG), leverages a hierarchical cross-chain architecture to facilitate secure data training and enhances output quality through multi-modal metrics. The authors also develop an age-of-information-based evaluation method to assess the freshness impact of MLLMs and design a contract theory-based incentive mechanism to encourage healthcare data sharing. Finally, they use deep reinforcement learning to identify the optimal contract for efficient data sharing. Experimental results demonstrate the effectiveness of the proposed approach in achieving secure and efficient healthcare data management. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes it easier for doctors and hospitals to share medical information securely using artificial intelligence. They created a special type of AI called Multi-modal Large Language Models (MLLMs) that can understand many different types of data, like images, videos, and text. The authors designed a new way to train these MLLMs that keeps the data safe and makes it more accurate. They also came up with a system to make sure the information is fresh and not outdated. This will help doctors have access to the most important medical information when they need it. |
Keywords
* Artificial intelligence * Multi modal * Rag * Reinforcement learning * Retrieval augmented generation
