Scalable and Provably Accurate Algorithms for Differentially Private
Distributed Decision Tree Learning

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Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning

19 December 2020

Maria-Florina Balcan

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Papers citing "Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning"

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Title
FedGA-Tree: Federated Decision Tree using Genetic Algorithm Anh Van Nguyen Diego Klabjan FedML 12 0 0 09 Jun 2025
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 156 183 0 01 Mar 2023
Private Boosted Decision Trees via Smooth Re-Weighting Vahid R. Asadi M. Carmosino Mohammad Jahanara Akbar Rafiey Bahar Salamatian 82 2 0 29 Jan 2022
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting Harsha Nori R. Caruana Zhiqi Bu J. Shen Janardhan Kulkarni 83 38 0 17 Jun 2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning Sylvain Chatel Apostolos Pyrgelis J. Troncoso-Pastoriza Jean-Pierre Hubaux 73 15 0 16 Mar 2021