Name
Title | ||
|---|---|---|
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features. |
Abstract | ||
|---|---|---|
We present a novel diffusion scheme for online kernel-based learning over networks. So far, a major drawback of any online learning algorithm, operating in a reproducing kernel Hilbert space (RKHS), is the need for updating a growing number of parameters as time iterations evolve. Besides complexity, this leads to an increased need of communication resources in a distributed setting. In contrast, ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2017.2781640 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Kernel,Training,Signal processing algorithms,Hilbert space,Estimation,Support vector machines | Journal | 66 |
Issue | ISSN | Citations |
7 | 1053-587X | 6 |
PageRank | References | Authors |
0.45 | 23 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pantelis Bouboulis | 1 | 171 | 11.05 |
| Symeon Chouvardas | 2 | 197 | 13.31 |
| Sergios Theodoridis | 3 | 1353 | 106.97 |