Protect End-to-End Data Pipelines with BigDL Privacy-Preserving Machine Learning (PPML)
Protecting privacy and confidentiality is critical for large-scale data analysis and machine learning. BigDL Privacy Preserving Machine Learning (PPML) provides a trusted cluster environment for secure big data and AI applications, even on an untrusted cloud environment.
By combining Intel® Software Guard Extensions with several security technologies (such as attestation, key management service, private set intersection, federated learning, and homomorphic encryption), BigDL PPML ensures end-to-end security that is enabled for entire distributed workflows (such as Apache Spark*, Apache Flink*, XGBoost, TensorFlow*, and PyTorch*) on Kubernetes* in a cloud native envrionment.
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产品和性能信息
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性能因用途、配置和其他因素而异。请访问 www.Intel.cn/PerformanceIndex 了解更多信息。