Name
Abstract | ||
|---|---|---|
There are various methods designed for solving the distributed optimization problem with only local computation and communication. This letter discusses a continuous-time and distributed version of the gradient descent method for solving the distributed optimization problem. We prove that the convergence rate of this method matches those of the centralized gradient descent method and distributed consensus. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LCSYS.2020.3037038 | IEEE Control Systems Letters |
Keywords | DocType | Volume |
Distributed optimization,continuous-time optimization algorithms,distributed gradient descent,convergence analysis | Journal | 5 |
Issue | ISSN | Citations |
4 | 2475-1456 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengyao Zhang | 1 | 1 | 0.35 |
| Xinzhi Liu | 2 | 1318 | 106.23 |
| Jun Liu | 3 | 215 | 20.63 |