SecureGBM: Secure Multi-Party Gradient Boosting

27 November 2019

Haoyi Xiong

Papers citing "SecureGBM: Secure Multi-Party Gradient Boosting"

25 / 25 papers shown

Title
Bilateral Differentially Private Vertical Federated Boosted Decision Trees Bokang Zhang Zhikun Zhang Haodong Jiang Yang Liu Lihao Zheng Yuxiao Zhou Shuaiting Huang Junfeng Wu FedML 132 0 0 30 Apr 2025
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 146 5 0 25 May 2024
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data William Lindskog Christian Prehofer Sarandeep Singh FedML 65 0 0 03 May 2024
Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network Jaeyeon Jang Diego Klabjan Veena Mendiratta Fanfei Meng FedML 54 1 0 15 Apr 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 153 9 0 06 Feb 2024
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Liu Ya-Qin Zhang FedML 89 6 0 15 Oct 2023
A Survey on Vertical Federated Learning: From a Layered Perspective Liu Yang Di Chai Junxue Zhang Yilun Jin Leye Wang Hao Liu Han Tian Qian Xu Kai Chen FedML 91 30 0 04 Apr 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 156 49 0 21 Feb 2023
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 187 176 0 23 Nov 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 99 63 0 10 Oct 2022
Federated Boosted Decision Trees with Differential Privacy Samuel Maddock Graham Cormode Tianhao Wang Carsten Maple S. Jha FedML 82 30 0 06 Oct 2022
Federated XGBoost on Sample-Wise Non-IID Data Katelinh Jones Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo FedML 147 7 0 03 Sep 2022
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging Yujin Han Pan Du Kai Yang FedML 142 12 0 03 Apr 2022
Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations Kennedy Edemacu Beakcheol Jang Jong Wook Kim 24 1 0 07 Feb 2022
Data Placement for Multi-Tenant Data Federation on the Cloud Ji Liu L. Mo Sijia Yang Jingbo Zhou Shilei Ji Haoyi Xiong Dejing Dou FedML 47 7 0 15 Dec 2021
Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost Wuxing Xu Hao Fan Kaixin Li Kairan Yang FedML 34 12 0 08 Dec 2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps Xiaopeng Jiang Han Hu Vijaya Datta Mayyuri An M. Chen D. Shila Adriaan Larmuseau Ruoming Jin Cristian Borcea Nhathai Phan FedML 67 11 0 17 Nov 2021
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning Xiaolin Chen Shuai Zhou Bei Guan Kai Yang Hao Fao Hu. Wang Yongji Wang FedML 163 16 0 20 May 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 64 38 0 12 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 144 262 0 29 Apr 2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning Sylvain Chatel Apostolos Pyrgelis J. Troncoso-Pastoriza Jean-Pierre Hubaux 71 15 0 16 Mar 2021
Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo Heiko Ludwig FedML 83 23 0 11 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 102 24 0 01 Dec 2020
ASCII: ASsisted Classification with Ignorance Interchange Jiaying Zhou Xun Xian Na Li Jie Ding 32 0 0 21 Oct 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 91 56 0 18 May 2020