Today I looked at Privasea, which is invested by Binance + OKX and focuses on the dual narrative of FHE + AI. From the perspective of people who have worked on federated learning, in simple terms, it is just a direct transfer of the federated learning homomorphic encryption system. The narrative is the same as that of federated learning, which is nothing more than data privacy protection and the homomorphic encryption implementation of machine learning algorithms. Then the token economic model is also centered around incentives between nodes, purchase of data anonymization, privacy algorithm calculation, etc. For ordinary user registration, KYC homomorphic encryption is used to save and verify the face.
There are many AI projects in the cryptocurrency world, nothing new, they just like to mix these things together, hoping to see a working solution. You can tell some more interesting stories, such as how to prevent witch attacks, how to calculate trusted models on the chain, and how to deploy AI on the blockchain to do some complex things.
