Name
Abstract | ||
|---|---|---|
In this article, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base stations (BSs) employs massive multiple-input–multiple-output (MIMO) to serve a set of users powered by independent energy harvesting sources. Since a certain number of users may not be able to participate in FL due to interference and energy constraints, a joint en... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JIOT.2021.3089054 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Energy harvesting,Wireless networks,Data models,Convergence,Resource management,Training,Scheduling | Journal | 9 |
Issue | ISSN | Citations |
1 | 2327-4662 | 4 |
PageRank | References | Authors |
0.41 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rami Hamdi | 1 | 17 | 3.69 |
| Mingzhe Chen | 2 | 595 | 44.32 |
| Ahmed Ben Said | 3 | 15 | 5.64 |
| Marwa Qaraqe | 4 | 17 | 12.45 |
| H. V. Poor | 5 | 25411 | 1951.66 |