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PrimiHub Documentation

Privacy Computing Data Security

Integrates a variety of security solutions such as cryptography, machine learning technology and encryption hardware, breaks data silos, does not expose sensitive data of various participants, realizes data availability and invisible, and meets the needs of security and compliance.

Complex computing scenario requirements

Relying on the accumulation of leading security technologies in the direction of data security and privacy protection such as MPC, TEE, FL, DP, etc., it ensures that the federal computing security is controllable. Rich built-in algorithms, flexible to meet complex computing scenarios.

Autonomous and efficient private deployment

Provide a one-stop end-to-end application service development platform to realize the analysis and mining of data value through visual interaction. Adopt strategies such as cluster distribution, concurrent computing, and algorithm optimization to achieve billion-scale big data computing and ensure the stability and efficiency of federal computing.