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A Vertical Federated Learning Method for Interpretable Scorecard and Its
  Application in Credit Scoring

A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring

14 September 2020
Fanglan Zheng
Erihe
Kun Li
Jiang Tian
Xiaojia Xiang
    FedML
ArXivPDFHTML

Papers citing "A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring"

4 / 4 papers shown
Title
Unlearning Clients, Features and Samples in Vertical Federated Learning
Unlearning Clients, Features and Samples in Vertical Federated Learning
Ayush K. Varshney
Konstantinos Vandikas
V. Torra
MU
49
1
0
23 Jan 2025
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
79
162
0
23 Nov 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated
  Learning via Visualization
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization
Y. Tian
He Wang
Laixin Xie
Xiaojuan Ma
Quan Li
FedML
33
1
0
02 Oct 2022
A Vertical Federated Learning Method For Multi-Institutional Credit
  Scoring: MICS
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
Yusuf Efe
FedML
31
5
0
17 Nov 2021
1