FederBoost: Private Federated Learning for GBDT

5 November 2020

Jian Liu

Kui Ren

FedML

AI4CE

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Papers citing "FederBoost: Private Federated Learning for GBDT"

26 / 26 papers shown

Title
Bilateral Differentially Private Vertical Federated Boosted Decision Trees Bokang Zhang Zhikun Zhang Haodong Jiang Y. Liu Lihao Zheng Yuxiao Zhou Shuaiting Huang Junfeng Wu FedML 77 0 0 30 Apr 2025
Tree-based Models for Vertical Federated Learning: A Survey Bingchen Qian Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 53 0 0 03 Apr 2025
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 70 3 0 25 May 2024
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks William Lindskog Christian Prehofer FedML 45 1 0 03 May 2024
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data William Lindskog Christian Prehofer Sarandeep Singh FedML 18 0 0 03 May 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 58 9 0 06 Feb 2024
Survey of Privacy Threats and Countermeasures in Federated Learning M. Hayashitani Junki Mori Isamu Teranishi FedML 8 0 0 01 Feb 2024
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection A. Abadi Bradley Doyle Francesco Gini Kieron Guinamard S. K. Murakonda ... S. Murdoch Mohammad Naseri Hector Page George Theodorakopoulos Suzanne Weller 26 6 0 19 Jan 2024
Effective and Efficient Federated Tree Learning on Hybrid Data Qinbin Li Chulin Xie Xiaojun Xu Xiaoyuan Liu Ce Zhang Bo-wen Li Bingsheng He D. Song FedML 10 3 0 18 Oct 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Janet Liu Ya-Qin Zhang FedML 25 5 0 15 Oct 2023
Eliminating Label Leakage in Tree-Based Vertical Federated Learning Hideaki Takahashi J. Liu Yang Liu AAML FedML 19 5 0 19 Jul 2023
Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables Yifeng Zheng Shuangqing Xu Songlei Wang Yan Gao Zhongyun Hua FedML 6 10 0 22 May 2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates Chenyang Ma Xinchi Qiu Daniel J. Beutel Nicholas D. Lane FedML 16 12 0 15 Apr 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 21 10 0 03 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 28 160 0 23 Nov 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering Lingxiao Huang Zhize Li Jialin Sun Haoyu Zhao FedML 14 9 0 26 Oct 2022
Federated Boosted Decision Trees with Differential Privacy Samuel Maddock Graham Cormode Tianhao Wang Carsten Maple S. Jha FedML 19 29 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 121 26 0 04 Oct 2022
Federated XGBoost on Sample-Wise Non-IID Data Katelinh Jones Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo FedML 17 7 0 03 Sep 2022
Continual Horizontal Federated Learning for Heterogeneous Data Junki Mori Isamu Teranishi Ryo Furukawa FedML 8 11 0 04 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 34 42 0 18 Feb 2022
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction Haizhou Liu Xuan Zhang Xinwei Shen Hongbin Sun FedML 16 6 0 08 Jan 2022
Enabling SQL-based Training Data Debugging for Federated Learning Yejia Liu Weiyuan Wu Lampros Flokas Jiannan Wang Eugene Wu FedML 11 15 0 26 Aug 2021
PIVODL: Privacy-preserving vertical federated learning over distributed labels Hangyu Zhu Rui Wang Yaochu Jin K. Liang FedML 25 29 0 25 Aug 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 351 0 07 Dec 2020
Practical Privacy Attacks on Vertical Federated Learning Haiqin Weng Juntao Zhang Xingjun Ma Feng Xue Tao Wei S. Ji Zhiyuan Zong FedML 19 5 0 18 Nov 2020