Abstract | ||
---|---|---|
Unsupervised learning (UL) is a technique to detect previously unseen anomalies without needing labeled datasets. We propose the integration of a scalable UL-based inference component in the monitoring loop of an SDN-controlled optical network. (C) 2022 The Author(s) |
Year | Venue | DocType |
---|---|---|
2022 | 2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC) | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Carlos Natalino | 1 | 0 | 0.34 |
Carlos Manso | 2 | 0 | 0.68 |
Lluis Gifre | 3 | 0 | 0.34 |
Raul Munoz | 4 | 0 | 0.34 |
Ricard Vilalta | 5 | 0 | 0.68 |
Marija Furdek | 6 | 0 | 0.34 |
Paolo Monti | 7 | 0 | 0.34 |