Abstract | ||
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In this paper, we aim to make the best joint decision of device selection and computing and spectrum resource allocation for optimizing federated learning (FL) performance in distributed industrial Internet of Things (IIoT) networks. To implement efficient FL over geographically dispersed data, we introduce a three-layer collaborative FL architecture to support deep neural network (DNN) training. ... |
Year | DOI | Venue |
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2021 | 10.1109/JSAC.2021.3118352 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Servers,Resource management,Industrial Internet of Things,Computer architecture,Energy consumption,Computational modeling,Delays | Journal | 39 |
Issue | ISSN | Citations |
12 | 0733-8716 | 8 |
PageRank | References | Authors |
0.49 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhang Wei | 1 | 392 | 53.03 |
Dong Yang | 2 | 18 | 2.64 |
wen wu | 3 | 117 | 15.85 |
Haixia Peng | 4 | 8 | 0.49 |
Ning Zhang | 5 | 744 | 59.81 |
Hongke Zhang | 6 | 1637 | 142.17 |
Xuemin Shen | 7 | 15389 | 928.67 |