ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.01550
  4. Cited By
Vertical Federated Learning: Taxonomies, Threats, and Prospects

Vertical Federated Learning: Taxonomies, Threats, and Prospects

3 February 2023
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
    FedML
ArXivPDFHTML

Papers citing "Vertical Federated Learning: Taxonomies, Threats, and Prospects"

10 / 10 papers shown
Title
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Zhaomin Wu
Zhen Qin
Junyi Hou
Haodong Zhao
Qinbin Li
Bingsheng He
Lixin Fan
FedML
59
0
0
12 Feb 2025
Vertical Federated Learning for Effectiveness, Security, Applicability:
  A Survey
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye
Wei Shen
Bo Du
E. Snezhko
Vassili Kovalev
PongChi Yuen
FedML
68
3
0
25 May 2024
A Bargaining-based Approach for Feature Trading in Vertical Federated
  Learning
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning
Yue Cui
Liuyi Yao
Zitao Li
Yaliang Li
Bolin Ding
Xiaofang Zhou
FedML
23
1
0
23 Feb 2024
An Auction-based Marketplace for Model Trading in Federated Learning
An Auction-based Marketplace for Model Trading in Federated Learning
Yue Cui
Liuyi Yao
Yaliang Li
Ziqian Chen
Bolin Ding
Xiaofang Zhou
FedML
16
3
0
02 Feb 2024
Vertical Federated Learning: A Structured Literature Review
Vertical Federated Learning: A Structured Literature Review
Afsana Khan
M. T. Thij
A. Wilbik
FedML
17
8
0
01 Dec 2022
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based
  Vertical Federated Learning
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
Jinyin Chen
Guohan Huang
Haibin Zheng
Shanqing Yu
Wenrong Jiang
Chen Cui
AAML
FedML
71
32
0
13 Oct 2021
Achieving Model Fairness in Vertical Federated Learning
Achieving Model Fairness in Vertical Federated Learning
Changxin Liu
Zhenan Fan
Zirui Zhou
Yang Shi
J. Pei
Lingyang Chu
Yong Zhang
FedML
44
11
0
17 Sep 2021
Efficient Client Contribution Evaluation for Horizontal Federated
  Learning
Efficient Client Contribution Evaluation for Horizontal Federated Learning
Jie Zhao
Xinghua Zhu
Jianzong Wang
Jing Xiao
FedML
16
28
0
26 Feb 2021
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
127
194
0
20 Oct 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
1