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@@ -98,6 +98,9 @@ The main contribution is to present a new C-dialect language and its compiler to
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## Privacy-preserving Tree-based Models
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### Outsourcing Computation: clients have data while could server provides computation ONLY
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[Privacy-Preserving Decision Tree Training and Prediction against Malicious Server](#PPDTTPAMS) proposed a HE-based solution, the essential idea is to encrypt a 0-1 indicator vector to indicate whether a sample is within a tree node.
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### Outsourcing Computation
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> In this scene, clients have ALL the data while cloud server provides computation power ONLY.
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*[Privacy-Preserving Decision Tree Training and Prediction against Malicious Server](#PPDTTPAMS) proposed a HE-based solution, the essential idea is to encrypt a 0-1 indicator vector to indicate whether a sample is within a tree node.
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