SecretFlow-Serving

SecretFlow-Serving is a serving system for privacy-preserving machine learning models.

Serve a model

# Download the Secretflow Serving Docker image
docker pull secretflow/serving-anolis8:latest
# Start Secretflow Serving container and open the REST API portcd examples
docker-compose up -d
# Query the model using the predict API
curl --location 'http://127.0.0.1:9010/PredictionService/Predict' \
--header 'Content-Type: application/json' \
--data '{ "service_spec": { "id": "test_service_id" }, "fs_params": { "alice": { "query_datas": [ "a" ] }, "bob": { "query_datas": [ "a" ] } } }'

Contribution Guidelines

If you would like to contribute to SecretFlow-Serving, please check Contribution guidelines.

This documentation also contains instructions for build and testing.