Name
Title | ||
|---|---|---|
Coordinate Dual Averaging for Decentralized Online Optimization With Nonseparable Global Objectives. |
Abstract | ||
|---|---|---|
We consider a decentralized online convex optimization problem in a network of agents, where each agent controls only a coordinate (or a part) of the global decision vector. For such a problem, we propose two decentralized variants (ODA-C and ODA-PS) of Nesterov's primal-dual algorithm with dual averaging. In ODA-C, to mitigate the disagreements on the primal-vector updates, the agents implement a... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCNS.2016.2573639 | IEEE Transactions on Control of Network Systems |
Keywords | Field | DocType |
Optimization,Linear programming,Resource management,Algorithm design and analysis,Convex functions,Control systems,Signal processing algorithms | Sublinear function,Discrete mathematics,Mathematical optimization,Time horizon,Algorithm design,Control theory,Multi-agent system,Convex function,Linear programming,Lipschitz continuity,Convex optimization,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 1 | 2325-5870 |
Citations | PageRank | References |
3 | 0.39 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soo-Min Lee | 1 | 148 | 12.00 |
| Angelia Nedic | 2 | 2323 | 148.65 |
| Maxim Raginsky | 3 | 771 | 60.65 |