ResearchTrend.AI
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning

Achieving Differential Privacy in Vertically Partitioned Multiparty Learning

Depeng Xu
Shuhan Yuan
Xintao Wu
ArXiv (abs)PDFHTML

Papers citing "Achieving Differential Privacy in Vertically Partitioned Multiparty Learning"

4 / 4 papers shown
Title
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
Songze Li
Duanyi Yao
Jin Liu
FedML
123
30
0
26 Apr 2023
Vertical Federated Learning: A Structured Literature Review
Vertical Federated Learning: A Structured Literature Review
Afsana Khan
M. T. Thij
A. Wilbik
FedML
112
10
0
01 Dec 2022
A Survey on Heterogeneous Federated Learning
A Survey on Heterogeneous Federated Learning
Dashan Gao
Xin Yao
Qian Yang
FedML
99
63
0
10 Oct 2022
Practical Vertical Federated Learning with Unsupervised Representation Learning
Practical Vertical Federated Learning with Unsupervised Representation Learning
Zhaomin Wu
Yue Liu
Bingsheng He
FedML
87
41
0
13 Aug 2022

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.