Name
Title | ||
|---|---|---|
Jointly Optimizing Client Selection and Resource Management in Wireless Federated Learning for Internet of Things |
Abstract | ||
|---|---|---|
Federated learning (FL) has been proposed to efficiently and privacy-preserving distributed machine learning architecture for the Internet of Things (IoT). In a wireless FL system, clients in IoT devices train their local models over the local data sets. The derived local models are uploaded to an FL server to generate a global model, broadcasted to the clients in the next global iteration for fur... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JIOT.2021.3103715 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Training,Computational modeling,Energy consumption,Wireless communication,Resource management,Servers,Data models | Journal | 9 |
Issue | ISSN | Citations |
6 | 2327-4662 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liangkun Yu | 1 | 1 | 1.03 |
| Rana Albelaihi | 2 | 1 | 1.03 |
| Xiang Sun | 3 | 112 | 10.35 |
| Nirwan Ansari | 4 | 4667 | 357.64 |
| Michael Devetsikiotis | 5 | 871 | 93.90 |