S-GBDT: Frugal Differentially Private Gradient Boosting Decision Trees.
Moritz KirschteThorsten PeinemannJoshua StockCarlos CotriniEsfandiar MohammadiPublished in: CoRR (2023)
Keyphrases
- differentially private
- gradient boosting
- decision trees
- base learners
- loss function
- differential privacy
- naive bayes
- machine learning algorithms
- training data
- machine learning
- single feature
- random forests
- imitation learning
- meta learning
- contingency tables
- ensemble methods
- relational domains
- privacy preserving
- random forest
- pairwise