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FedXGBoost: Privacy-Preserving XGBoost for Federated Learning
v1v2v3 (latest)

FedXGBoost: Privacy-Preserving XGBoost for Federated Learning

20 June 2021
Nam Le
Yang Liu
Quang-Minh Nguyen
Qingchen Liu
Fangzhou Liu
Quan Cai
Sandra Hirche
    FedML
ArXiv (abs)PDFHTML

Papers citing "FedXGBoost: Privacy-Preserving XGBoost for Federated Learning"

8 / 8 papers shown
Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
108
0
0
08 May 2025
Federated Learning in Healthcare: Model Misconducts, Security,
  Challenges, Applications, and Future Research Directions -- A Systematic
  Review
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
67
10
0
22 May 2024
Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case
Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case
William Lindskog
Christian Prehofer
FedML
32
3
0
03 May 2024
A Survey on Vertical Federated Learning: From a Layered Perspective
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
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
82
30
0
06 Oct 2022
Application of federated learning techniques for arrhythmia
  classification using 12-lead ECG signals
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals
Daniel Gutiérrez
Hafiz Muuhammad Hassan
Lorella Landi
A. Vitaletti
I. Chatzigiannakis
FedML
45
15
0
23 Aug 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated
  Ensemble Learning
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Meisam Hejazinia
Dzmitry Huba
Ilias Leontiadis
Kiwan Maeng
Mani Malek
Luca Melis
Ilya Mironov
Milad Nasr
Kaikai Wang
Carole-Jean Wu
FedML
68
5
0
07 Jun 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and
  defences, experimental study and challenges
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso
Daniel Jiménez López
M. V. Luzón
Francisco Herrera
Eugenio Martínez-Cámara
FedML
85
228
0
20 Jan 2022
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