Name
Title | ||
|---|---|---|
Energy-Efficient Federated Learning Framework for Digital Twin-Enabled Industrial Internet of Things |
Abstract | ||
|---|---|---|
The digital twin (DT) bridges the physical world with the digital world in real-time for the Industrial Internet of Things (IIoT) and federated learning (FL) enables edge intelligence services for IIoT under the premise of avoiding privacy leakage. The fusion of two technologies can extremely accelerate the development of Industry 4.0 by enabling instant intelligence services. However, in the reso... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/PIMRC50174.2021.9569716 | 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) |
Keywords | DocType | ISBN |
Training,Energy consumption,Simulation,Heuristic algorithms,Space technology,Dynamic scheduling,Collaborative work | Conference | 978-1-7281-7586-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiaxiang Zhang | 1 | 0 | 0.34 |
| Yiming Liu | 2 | 251 | 25.55 |
| Xiaoqi Qin | 3 | 21 | 6.47 |
| Xiaodong Xu | 4 | 336 | 48.97 |