Wireless Channel Adaptive DNN Split Inference for Resource-Constrained Edge Devices-Reference-Cited by-同舟云学术

Wireless Channel Adaptive DNN Split Inference for Resource-Constrained Edge Devices

Published:2023-06 Issue:6 Volume:27 Page:1520-1524
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Lee Jaeduk¹^ORCID,Lee Hojung²^ORCID,Choi Wan¹^ORCID

Affiliation:

1. Institute of New Media and Communications and the Department of Electrical and Computer Engineering, Seoul National University (SNU), Seoul, South Korea

2. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

Funder

Samsung Electronics Co., Ltd

National Research Foundation of Korea (NRF) funded by the Korea government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/10147746/10107635.pdf?arnumber=10107635

Reference10 articles.

1. A Survey on Mobile Edge Computing: The Communication Perspective

2. Distributed learning of deep neural network over multiple agents

3. Very deep convolutional networks for large-scale image recognition;simonyan;Proc Int Conf Learn Represent,2015

4. Cooperative Inference of DNNs for Delay- and Memory-Constrained Wireless IoT Systems

5. Cooperative Inference of DNNs Over Noisy Wireless Channels

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