Title
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Abstract
This paper investigates task-oriented communication for edge inference, where a low-end edge device transmits the extracted feature vector of a local data sample to a powerful edge server for processing. It is critical to encode the data into an informative and compact representation for low-latency inference given the limited bandwidth. We propose a learning-base...
Year
DOI
Venue
2022
10.1109/JSAC.2021.3126087
IEEE Journal on Selected Areas in Communications
Keywords
DocType
Volume
Task analysis,Servers,Mutual information,Image coding,Feature extraction,Dynamic scheduling,Mobile handsets
Journal
40
Issue
ISSN
Citations 
1
0733-8716
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Shao Jiawei141.77
Yuyi Mao280727.39
Jun Zhang33772190.36