Optimization framework for splitting DNN inference jobs over computing networks-Reference-Cited by-同舟云学术

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Optimization framework for splitting DNN inference jobs over computing networks

Published:2023-08 Issue: Volume:232 Page:109814
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Jung Sehun,Lee Hyang-Won^ORCID

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference36 articles.

1. The roadmap to 6G: AI empowered wireless networks;Letaief;IEEE Commun. Mag.,2019

2. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size, CoRR abs/1602.07360;Iandola,2016

3. MobileNets: Efficient convolutional neural networks for mobile vision applications, CoRR abs/1704.04861;Howard,2017

4. Searching for MobileNetV3;Howard,2019

5. A comprehensive survey of neural architecture search: Challenges and solutions;Ren,2021

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1. SECO: Multi-Satellite Edge Computing Enabled Wide-Area and Real-Time Earth Observation Missions;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

2. DISCO: Distributed Inference with Sparse Communications;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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