Good brothers, for those who participated in the FHE event before, check the airdrop! I got 10 FHE!

The snapshot date for this airdrop is March 31, 2025, which means all eligible user behaviors (such as holding NFTs, participating in delegation, etc.) must be completed before this date. Eligible users can now check their airdrop share through the official inquiry channel.

Which users are eligible for the airdrop?
Mind Network has set five categories of eligible user groups for this airdrop, covering NFT holders, mainnet participants, community contributors, etc., as follows:
CitizenZ Passport NFT Holders: Users holding the CitizenZ Passport NFT issued by Mind Network.
Mainnet vFHE Delegators and Participants: Users participating in vFHE (Virtual FHE) delegation or staking on the Mind Network mainnet.
Inviting Activity Participants: Users who invite new users to join Mind Network through invitation links and complete designated tasks.
AgentConnect Hub Registrants: Users who complete registration and are active on the AgentConnect Hub platform.
Community Contributors: Users who actively participate in discussions, provide technical support, or create content in the Mind Network community.
What if I didn't participate in the last round of the airdrop? There will be another chance before May 9, don't miss it!
Keep the tutorial, you can earn an extra 10 FHE:
Step 1: Start and Connect Wallet
Go to the Agent Launch page and connect your wallet (supports BNB Smart Chain and MindChain). If using Binance Wallet, click [Discover] -> [DApps] button.

Step 2: Staking Launch Agent
Stake 100 FHE to activate the agent (limited-time airdrop event: stake to get 10 FHE, event until May 9, 2025). Once activated, the agent can start training and earning rewards.
(If you don't have FHE, click the [Get FHE] button for guidance)

Step 3: Choose Training Center
Choose a training center based on interest. Each center offers:
Unique Skill Learning
Continuous $FHE rewards during training

Step 4: Agent Activated
Congratulations! The agent has started training and is automatically earning rewards.
Go to [Dashboard] to:
Check Training/Work Progress
Check Earned Rewards
Manage staked $FHE

Finally, a brief introduction to FHE
FHE (Fully Homomorphic Encryption) is an encryption technology that allows arbitrary computations on encrypted data without decryption. The core idea is that users can encrypt their data and hand it over to a third party for processing. The third party performs computations on the ciphertext and returns the result, which the user can decrypt to obtain the same result as the plaintext computation, without exposing the original data or computation logic.
Key Features of FHE
Privacy Protection: Data remains encrypted at all times, and third parties cannot access the original data.
Arbitrary Computation: Supports arbitrary computations such as addition and multiplication on ciphertext, theoretically allowing for computations of any complexity.
No Trust in Third Parties Required: Users do not need to trust the security of the data processor, as the data remains encrypted.
Technical Principles of FHE
The implementation of FHE is based on mathematically complex problems (such as lattice cryptography), controlling noise growth by introducing noise and special homomorphic operations (such as bootstrapping), enabling infinite homomorphic calculations.
Applications of FHE
Cloud Computing: Users can upload encrypted data to the cloud, where cloud service providers perform computations on the ciphertext (such as data analysis, machine learning), returning encrypted results.
Medical Data Sharing: Hospitals can encrypt patient data and share it with research institutions, which can analyze the data in ciphertext, protecting patient privacy.
Financial Risk Control: Banks can hand over encrypted customer data to third parties for risk assessment, and third parties cannot access the original data.
Internet of Things (IoT): Communication data between devices can be transmitted in encrypted form, with the recipient processing the data in ciphertext to protect data privacy.