Explore the exciting realm of Decentralized AI (DeAI) with our groundbreaking survey—the first of its kind.
We make the first systematic definition of DeAI, analyze risks and challenges, and explore solutions, especially in the context of large models.

This comprehensive survey covers the techniques that are applied to DeAI: privacy-preserved machine learning, verification of computation, cryptography, LLM risks and security, distributed training.

https://www.researchgate.net/publication/380564678_A_Review_on_Decentralized_Artificial_Intelligence_in_the_Era_of_Large_Models

We are now working on the open-sourced gitbook with more details,
welcome to collaborate to provide your insightful knowledge: https://deai.gitbook.io/

We will start a serial of blog posts and tweets for educational purpose, easier to follow, more fun to read.
Don't miss it:
  https://blog.crynux.ai/
  https://x.com/crynuxai