Name
Title | ||
|---|---|---|
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT |
Abstract | ||
|---|---|---|
The ever-growing artificial intelligence (AI) applications have greatly reshaped our world in many areas, e.g., smart home, computer vision, natural language processing, etc. Behind these applications are usually machine learning (ML) models with extremely large size, which require huge data sets for accurate training to mine the value contained in the big data. Large ML models, however, can consu... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JIOT.2021.3111624 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Training,Computational modeling,Data models,Computer architecture,Optimization,Internet of Things,Task analysis | Journal | 9 |
Issue | ISSN | Citations |
2 | 2327-4662 | 2 |
PageRank | References | Authors |
0.36 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haozhao Wang | 1 | 4 | 1.74 |
| Zhihao Qu | 2 | 42 | 5.45 |
| Qihua Zhou | 3 | 4 | 1.39 |
| Haobo Zhang | 4 | 2 | 0.36 |
| Boyuan Luo | 5 | 4 | 1.06 |
| Wenchao Xu | 6 | 2 | 1.71 |
| Song Guo | 7 | 3431 | 278.71 |
| Ruixuan Li | 8 | 405 | 69.47 |