Compressed transmission of network data for networking machine learning systems
US11438240B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 4, 2020 |
| Grant date | Sep 6, 2022 |
| Priority date | — |
| Expiry date | May 26, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/149
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a service receives telemetry data indicative of a plurality of performance metrics captured in a network. The service jointly trains, using the received telemetry data, a compression model and an inference model, the compression model being a first machine learning model trained to convert the telemetry data into a compressed representation of the telemetry data and the inference model being a second machine learning model trained to take the compressed representation of the telemetry data as input and apply a classification label to it. The service deploys the compression model to the network. The service receives compressed telemetry data generated by the compression model deployed to the network. The service uses the inference model to classify the compressed telemetry data generated by the compression model deployed to the network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.