Privet: A Privacy-Preserving Vertical Federated Learning Service for
Gradient Boosted Decision Tables

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Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables

22 May 2023

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Papers citing "Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables"

14 / 14 papers shown

Title
Federated Boosted Decision Trees with Differential Privacy Samuel Maddock Graham Cormode Tianhao Wang Carsten Maple S. Jha FedML 80 30 0 06 Oct 2022
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization Xiaochen Li Yuke Hu Weiran Liu Hanwen Feng Li Peng Yuan Hong Kui Ren Zhan Qin FedML 171 27 0 04 Oct 2022
CAFE: Catastrophic Data Leakage in Vertical Federated Learning Xiao Jin Pin-Yu Chen Chia-Yi Hsu Chia-Mu Yu Tianyi Chen FedML 71 151 0 26 Oct 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning Brian Knott Shobha Venkataraman Awni Y. Hannun Shubho Sengupta Mark Ibrahim Laurens van der Maaten 90 361 0 02 Sep 2021
Privacy-Preserving Training of Tree Ensembles over Continuous Data Samuel Adams Chaitali Choudhary Martine De Cock Rafael Dowsley David Melanson Anderson C. A. Nascimento Davis Railsback Jianwei Shen 47 20 0 05 Jun 2021
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization Lunchen Xie Jiaqi Liu Songtao Lu Tsung-Hui Chang Qingjiang Shi FedML 56 38 0 12 May 2021
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU Sijun Tan Brian Knott Yuan Tian David J. Wu BDL FedML 88 193 0 22 Apr 2021
FederBoost: Private Federated Learning for GBDT Zhihua Tian Rui Zhang Xiaoyang Hou Jian Liu K. Ren Jian Liu Kui Ren FedML AI4CE 98 68 0 05 Nov 2020
Privacy Preserving Vertical Federated Learning for Tree-based Models Yuncheng Wu Shaofeng Cai Xiaokui Xiao Gang Chen Beng Chin Ooi FedML 44 213 0 14 Aug 2020
Large-Scale Secure XGB for Vertical Federated Learning Wenjing Fang Derun Zhao Jin Tan Chaochao Chen Chaofan Yu L. xilinx Wang Lei Wang Jun Zhou Benyu Zhang FedML 72 55 0 18 May 2020
Practical Federated Gradient Boosting Decision Trees Yue Liu Zeyi Wen Bingsheng He FedML AI4CE 119 193 0 11 Nov 2019
SecureBoost: A Lossless Federated Learning Framework Kewei Cheng Tao Fan Yilun Jin Yang Liu Tianjian Chen Dimitrios Papadopoulos Qiang Yang FedML 105 584 0 25 Jan 2019
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications M. Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori T. Schneider F. Koushanfar FedML 48 495 0 10 Jan 2018
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 817 39,062 0 09 Mar 2016

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