Everyone can participate in this FHE staking activity, with an annualized staking rate of 400%. You only need to stake 100 FHE and you will be given 10 FHE immediately. Income will continue to be generated in the future. It is estimated that each person will receive around 100U to 700U.
1: Next is the detailed tutorial (finished in two minutes)
Step 1: Binance Wallet → Discovery Page → DAPP Search and connect to the wallet
Step 2: Activate the AI agent, pledge 100FHE and you will get 10FHE for free. The pledged amount will generate continuous income!
FHE project advantages!
We have obtained Binance Labs (Yzi Labs), Cogitent, Hashkey, Animoca Brands, and Chainlink, which are likely to be listed on exchanges in the future!
What are the key scenarios for FHE's use cases for AI and its possible applications in different fields, such as Defi, games, etc.?
1. Finance and DeFi (decentralized finance)
Privacy-preserving smart contracts
In DeFi, FHE can encrypt on-chain transaction details (such as amount, participant identity), allowing contract logic (such as lending, derivatives settlement) to be executed on ciphertext, resolving the current contradiction between blockchain transparency and user privacy.
Privacy transactions on decentralized exchanges (DEX)
User orders (price, quantity) can be submitted to the on-chain order book after being encrypted with FHE. The matching engine matches transactions in ciphertext to prevent front-running and leakage of sensitive information!
2. Games and virtual worlds
Player behavior analysis and dynamic content generation
Game manufacturers can use FHE to encrypt player behavior data (such as operating habits and consumption records), run AI models on the ciphertext to generate personalized content (such as NPC interactions and level difficulty), and avoid privacy abuse.
Crypto virtual asset trading
When players trade NFTs or props in on-chain games (such as GameFi), FHE can hide the transaction price and the identities of the buyer and seller to prevent market manipulation and asset tracking.
Privacy protection for multiplayer games
In real-time competitive or social games, data such as player location and voice chat can be transmitted after encryption, and the server processes the interaction logic (such as anti-cheating detection and matching mechanism) in ciphertext state to protect user privacy.
