An Experimental Evaluation of Large Scale GBDT Systems

v1v2 (latest)

An Experimental Evaluation of Large Scale GBDT Systems

3 July 2019

Jiawei Jiang

ArXiv (abs)PDF HTML

Papers citing "An Experimental Evaluation of Large Scale GBDT Systems"

9 / 9 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 134 0 0 30 Apr 2025
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement Xiaonan Nie Xupeng Miao Zilong Wang Zichao Yang Jilong Xue Lingxiao Ma Gang-Ming Cao Tengjiao Wang MoE 92 50 0 08 Apr 2023
Quantized Training of Gradient Boosting Decision Trees Yu Shi Guolin Ke Zhuoming Chen Shuxin Zheng Tie-Yan Liu MQ AI4CE 73 19 0 20 Jul 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Tengjiao Wang FedML 124 59 0 16 Jun 2022
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree Tao Fan Weijing Chen Guoqiang Ma Yan Kang Lixin Fan Qiang Yang FedML 60 4 0 21 Oct 2021
Towards Demystifying Serverless Machine Learning Training Jiawei Jiang Shaoduo Gan Yue Liu Fanlin Wang Gustavo Alonso Ana Klimovic Ankit Singla Wentao Wu Ce Zhang 71 126 0 17 May 2021
FederBoost: Private Federated Learning for GBDT Zhihua Tian Rui Zhang Xiaoyang Hou Jian Liu K. Ren Jian Liu Kui Ren FedML AI4CE 108 70 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 60 214 0 14 Aug 2020
LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions Yingshi Chen 32 3 0 26 Jan 2020