Name
Title | ||
|---|---|---|
Communication-Aware Distributed Gaussian Process Regression Algorithms For Real-Time Machine Learning |
Abstract | ||
|---|---|---|
We propose a communication-aware Gaussian process regression algorithm that allows a network of robots to collaboratively learn about a common latent function in real time using streaming data. We quantify the improvement that inter-robot communication brings on the transient performance of the learning algorithm. Simulations are performed to validate the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.23919/ACC45564.2020.9147886 | 2020 AMERICAN CONTROL CONFERENCE (ACC) |
DocType | ISSN | Citations |
Conference | 0743-1619 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenyuan Yuan | 1 | 0 | 1.01 |
| Minghui Zhu | 2 | 0 | 1.35 |