Name
Abstract | ||
|---|---|---|
In recent years, deep neural networks (DNNs) have witnessed a booming of artificial intelligence Internet of Things applications with stringent demands across high accuracy and low latency. A widely adopted solution is to process such computation-intensive DNNs inference tasks with edge computing. Nevertheless, existing edge-based DNN processing methods still cannot achieve acceptable performance ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICDCS51616.2021.00075 | 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS) |
Keywords | DocType | ISSN |
Runtime,Heuristic algorithms,Computational modeling,Prototypes,Dispatching,Task analysis,Low latency communication | Conference | 1063-6927 |
ISBN | Citations | PageRank |
978-1-6654-4513-9 | 1 | 0.36 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaowu Huang | 1 | 1 | 0.36 |
| Fang Dong | 2 | 202 | 35.44 |
| Dian Shen | 3 | 1 | 1.03 |
| Junxue Zhang | 4 | 37 | 2.83 |
| Huitian Wang | 5 | 1 | 1.03 |
| Guangxing Cai | 6 | 1 | 0.70 |
| Qiang He | 7 | 217 | 23.35 |