When we discuss #MindNetwork全同态加密FHE重塑AI未来 on Mars

Summary of the applications and advantages of FHE (Fully Homomorphic Encryption)

Application Scenarios:

Privacy Computing: Direct computation on encrypted data (e.g., medical, financial analysis), avoiding the leakage of original information.

Secure Cloud Services: Processing encrypted data in the cloud (e.g., AI model training), preventing service providers from viewing user data.

Blockchain Privacy: Protecting transaction details on the chain (e.g., amounts, participants), enhancing the privacy of DeFi/NFT.

Data Sharing: When enterprises/institutions collaborate (e.g., joint risk control), sharing encrypted data instead of plaintext.

Government and Military: Encrypted storage and computation of sensitive data (intelligence, citizen information).

Advantages:

End-to-End Privacy: Data is encrypted throughout the process, not exposed even during computation.

Compliance: Meets privacy regulations like GDPR, reducing legal risks.

Security: Resists hacker attacks, as data always exists in ciphertext form.

Flexibility: Supports any computation such as addition, subtraction, multiplication, and division, applicable in various scenarios.

Decentralization: Achieves secure computing without relying on third parties.

Challenges: Low computational efficiency and high hardware requirements, but new technologies like zk-FHE are optimizing performance. FHE will become a cornerstone technology for Web3, AI, and cloud security. @Mind Network #比特币市值排名 #TRUMP晚宴 #加密货币总市值重回3万亿