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Large-Scale Secure XGB for Vertical Federated Learning

Large-Scale Secure XGB for Vertical Federated Learning

18 May 2020
Wenjing Fang
Derun Zhao
Jin Tan
Chaochao Chen
Chaofan Yu
L. xilinx Wang
Lei Wang
Jun Zhou
Benyu Zhang
    FedML
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Papers citing "Large-Scale Secure XGB for Vertical Federated Learning"

5 / 5 papers shown
Title
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
Ziyao Ren
Yan Kang
Lixin Fan
Linghua Yang
Yongxin Tong
Qiang Yang
FedML
44
3
0
20 Jul 2023
Vertical Federated Learning: Concepts, Advances and Challenges
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
57
161
0
23 Nov 2022
Federated Boosted Decision Trees with Differential Privacy
Federated Boosted Decision Trees with Differential Privacy
Samuel Maddock
Graham Cormode
Tianhao Wang
Carsten Maple
S. Jha
FedML
29
29
0
06 Oct 2022
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with
  Application to Fraud Detection
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection
Yingting Liu
Chaochao Chen
Jamie Cui
L. xilinx Wang
Lei Wang
24
0
0
12 Aug 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
21
88
0
11 Apr 2022
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