Name
Abstract | ||
|---|---|---|
Distributed learning has become a critical enabler of the massively connected world that many people envision. This article discusses four key elements of scalable distributed processing and real-time intelligence: problems, data, communication, and computation. Our aim is to provide a unique perspective of how these elements should work together in an effective and coherent manner. In particular,... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MSP.2020.2970170 | IEEE Signal Processing Magazine |
Keywords | DocType | Volume |
Distributed databases,Cost function,Neural networks,Real-time systems,Data models,Signal processing algorithms,Distributed processing | Journal | 37 |
Issue | ISSN | Citations |
3 | 1053-5888 | 4 |
PageRank | References | Authors |
0.45 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tsung-Hui Chang | 1 | 1142 | 72.18 |
| Mingyi Hong | 2 | 1533 | 91.29 |
| Hoi-To Wai | 3 | 169 | 24.51 |
| Xinwei Zhang | 4 | 4 | 0.45 |
| Songtao Lu | 5 | 84 | 19.52 |