secretflow/serving
SecretFlow-Serving is a serving system for privacy-preserving machine learning models.
This system helps organizations make predictions using machine learning models without directly sharing sensitive underlying data. You provide input data, which remains private to your organization, and receive model predictions while ensuring the raw data itself is never exposed to other parties. This is ideal for data scientists, compliance officers, or privacy engineers working with confidential information across different entities.
Use this if you need to deploy machine learning models for prediction while strictly adhering to data privacy regulations and policies across multiple collaborating organizations.
Not ideal if your models do not involve sensitive data or multi-party collaboration, or if you prefer a simpler, standard model deployment without privacy-preserving features.
Stars
15
Forks
6
Language
C++
License
Apache-2.0
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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