Abstract | ||
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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 |
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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 Chen | 1 | 17 | 2.95 |
Dan Wang | 2 | 41 | 5.01 |
Yifei Zhu | 3 | 39 | 6.83 |
Zhu Han | 4 | 11215 | 760.71 |