4.1.2 Computing Layer

Privacy Computing Realizes "Data Usable but Not Visible"

Core technologies: Homomorphic encryption (BGV algorithm optimization), Secure Multi-Party Computation (threshold MPC), Federated Learning (superimposed differential privacy).Privacy features: Original data is not uploaded, only encrypted data/model parameters are processed. Computing nodes have no right to access real information, and results can be verified.Application scenarios: Privacy AI model training (such as anonymous credit scoring model), cross-enterprise secure data analysis (such as joint medical data research), personal data value realization (anonymously participating in market research).