Title
Digital Twin for Federated Analytics Using a Bayesian Approach
Abstract
We are now in an information era and the volume of data is growing explosively. However, due to privacy issues, it is very common that data cannot be freely shared among the data generating. Federated analytics was recently proposed aiming at deriving analytical insights among data-generating devices without exposing the raw data, but the intermediate analytics results. Note that ...
Year
DOI
Venue
2021
10.1109/JIOT.2021.3098692
IEEE Internet of Things Journal
Keywords
DocType
Volume
Digital twin,Monte Carlo methods,Markov processes,Internet of Things,Distributed databases,Data models,Convergence
Journal
8
Issue
ISSN
Citations 
22
2327-4662
2
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Dawei Chen1172.95
Dan Wang2415.01
Yifei Zhu3396.83
Zhu Han411215760.71