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2012.10602
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Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning
19 December 2020
Kai Wang
Travis Dick
Maria-Florina Balcan
FedML
Re-assign community
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Papers citing
"Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning"
5 / 5 papers shown
Title
FedGA-Tree: Federated Decision Tree using Genetic Algorithm
Anh Van Nguyen
Diego Klabjan
FedML
14
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
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