Label-less Learning for Traffic Control in an Edge Network
Abstract
With the development of intelligent applications (e.g., self-driving, real-time emotion recognition), there are higher requirements for cloud intelligence. However, cloud intelligence depends on the multi-modal data collected by user equipments (UEs). Due to the limited capacity of network bandwidth, offloading all data generated from the UEs to the remote cloud is impractical. Thus, in this article, we consider the challenging issue of...
Paper Details
Title
Label-less Learning for Traffic Control in an Edge Network
Published Date
Nov 1, 2018
Journal
Volume
32
Issue
6
Pages
8 - 14
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