Name
Title | ||
|---|---|---|
Following the Correct Direction: Renovating Sparsified SGD Towards Global Optimization in Distributed Edge Learning |
Abstract | ||
|---|---|---|
Distributed edge learning collaborates powerful edge devices to train a shared global model. Since the frequent communication between the server and workers is very expensive, it is desired to accelerate the learning process. The gradient sparsification is an efficient method that only uploads a small subset of gradient elements. However, most existing works neglect the distributed nature of local... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JSAC.2021.3118396 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Training,Optimization,Convergence,Task analysis,Image edge detection,Data models,Sun | Journal | 40 |
Issue | ISSN | Citations |
2 | 0733-8716 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wanyi Ning | 1 | 0 | 0.34 |
| Haifeng Sun | 2 | 68 | 27.77 |
| Xiaoyuan Fu | 3 | 14 | 2.88 |
| Yang Xiang | 4 | 2930 | 212.67 |
| Qi Qi | 5 | 210 | 56.01 |
| J. Wang | 6 | 479 | 95.23 |
| Jianxin Liao | 7 | 457 | 82.08 |
| Zhu Han | 8 | 11215 | 760.71 |