Name
Abstract | ||
|---|---|---|
Industry 5.0 is emerging as a result of the advancement in networking and communication technologies, artificial intelligence, distributed computing, and beyond 5G. Among the important enabling technologies, federated learning, industrial edge computing, and Byzantine-tolerant machine learning (ML) are key accelerators in Industry 5.0. We propose a framework to integrate these key components. Rece... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3097072 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Servers,Edge computing,Computational modeling,Computer architecture,Industries,Cost function,Task analysis | Journal | 18 |
Issue | ISSN | Citations |
8 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anran Du | 1 | 0 | 0.34 |
| Yicheng Shen | 2 | 0 | 0.34 |
| Qinzi Zhang | 3 | 0 | 2.03 |
| Lewis Tseng | 4 | 177 | 23.92 |
| moayad aloqaily | 5 | 331 | 37.67 |