BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing-Reference-Cited by-同舟云学术

BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
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Author:

Matsubara Yoshitomo¹,Callegaro Davide¹,Singh Sameer¹,Levorato Marco¹,Restuccia Francesco²

Affiliation:

1. University of California,Department of Computer Science,Irvine,United States

2. Northeastern University,Institute for the Wireless Internet of Things,United States

Funder

Intel Corporation

Publisher

IEEE

Link

Reference38 articles.

1. SC2: Supervised Compression for Split Computing;matsubara,2022

2. Densely connected convolutional networks;huang;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

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