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FHE Reshaping the Future of AI and Web3: The Underlying Revolution of Privacy and Trust
Fully Homomorphic Encryption (FHE) is becoming a key technology for the integration of AI and Web3, allowing data to be computed in an encrypted state, protecting privacy while unlocking value. This article interprets how FHE reconstructs the future from three aspects: application scenarios, technical architecture, and industry significance.
1. Three Major Application Scenarios of FHE
1. Medical Data Collaboration
Hospitals and pharmaceutical companies share encrypted genomic data through FHE, allowing AI models to directly analyze disease risk on ciphertext, increasing diagnostic accuracy by 30% with zero data leakage. For example, patient privacy data is encrypted throughout, with only authorized parties able to decrypt the results, breaking data silos while complying with GDPR requirements.
1. Three Major Application Scenarios of FHE
1. Medical Data Collaboration
Hospitals and pharmaceutical companies share encrypted genomic data through FHE, allowing AI models to directly analyze disease risk on ciphertext, increasing diagnostic accuracy by 30% with zero data leakage. For example, patient privacy data is encrypted throughout, with only authorized parties able to decrypt the results, breaking data silos while complying with GDPR requirements.
Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.
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