Past vs Future Data Collaboration
Our Three Main Technologies of Privacy Computing
Our Three Main Technologies
of Privacy Computing
Based on thread and trust assumptions, as well as performance requirements, different technological approaches
can be adopted for the specific use cases.
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Secure Multi-party Computation
Data analysis is spread across multiple parties such that no individual party can see the complete set of inputs.
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Security Sandbox Computation / TEE
Code and data is loaded inside a trusted and isolated
environment for protection of confidentiality and integrity.
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Federated Learning
Algorithm is trained across multiple decentralized edge devices or servers holding local data samples, without exchanging them.
BaseBit.ai is professionally certified in the three major privacy computing technologies mentioned above
Raw data is never shared
Authorized use of data in the platform
The platform only exports data value
