Self-aware distributed deep learning framework for heterogeneous IoT edge devices-Reference-Cited by-同舟云学术

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Self-aware distributed deep learning framework for heterogeneous IoT edge devices

Published:2021-12 Issue: Volume:125 Page:908-920
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Jin Yi^ORCID,Cai Jiawei,Xu Jiawei^ORCID,Huan Yuxiang^ORCID,Yan Yulong,Huang Bin,Guo Yongliang,Zheng Lirong^ORCID,Zou Zhuo

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference51 articles.

1. C.V.N. Index, Forecast and Trends, 2017–2022 White Paper, Cisco, San Jose, CA, USA.

2. Convergence of edge computing and deep learning: A comprehensive survey;Wang;IEEE Commun. Surv. Tutor.,2020

3. Edge computing: A survey;Khan;Future Gener. Comput. Syst.,2019

4. Once-for-all: Train one network and specialize it for efficient deployment;Cai,2019

5. When edge meets learning: Adaptive control for resource-constrained distributed machine learning;Wang,2018

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4. Power efficient module in single chip for the energy optimized dynamic IoT communication;Multimedia Tools and Applications;2024-04-29

5. Computation Offloading Based on a Distributed Overlay Network Cache-Sharing Mechanism in Multi-Access Edge Computing;Future Internet;2024-04-19

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