Search Results for author: Thorsten Peinemann

Found 1 papers, 0 papers with code

S-GBDT: Frugal Differentially Private Gradient Boosting Decision Trees

no code implementations21 Sep 2023 Moritz Kirschte, Thorsten Peinemann, Joshua Stock, Carlos Cotrini, Esfandiar Mohammadi

For the Abalone dataset for $\varepsilon=0. 54$ we achieve $R^2$-score of $0. 47$ which is very close to the $R^2$-score of $0. 54$ for the nonprivate version of GBDT.

4k Privacy Preserving

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