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首页|期刊导航|Journal of Computer Science & Technology|Efficient Vision Transformer Inference via UDP for Edge-Cloud Collaboration:An Adaptive Loss Detection Approach

Efficient Vision Transformer Inference via UDP for Edge-Cloud Collaboration:An Adaptive Loss Detection Approach

Hyochan Kim Jong Hwan Ko

Journal of Computer Science & Technology2026,Vol.41Issue(2):P.710-723,14.
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Journal of Computer Science & Technology2026,Vol.41Issue(2):P.710-723,14.DOI:10.1007/s11390-025-5171-z

Efficient Vision Transformer Inference via UDP for Edge-Cloud Collaboration:An Adaptive Loss Detection Approach

Hyochan Kim 1Jong Hwan Ko1

作者信息

  • 1. Department of Electrical and Computer Engineering,Sungkyunkwan University,Suwon-si 16419,South Korea
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摘要

关键词

collaborative intelligence/vision transformer/User Datagram Protocol(UDP)transfer/edge-cloud/real-time system

分类

信息技术与安全科学

引用本文复制引用

Hyochan Kim,Jong Hwan Ko..Efficient Vision Transformer Inference via UDP for Edge-Cloud Collaboration:An Adaptive Loss Detection Approach[J].Journal of Computer Science & Technology,2026,41(2):P.710-723,14.

基金项目

supported by the Ministry of Science and ICT MSIT South Korea,under the ICT Creative Consilience Program under Grant No.IITP-2023-2020-0-01821 ()

supervised by the Institute for Information and Communications Technology Planning and Evaluation(IITP)of South Korea (IITP)

It was also supported in part by the IITP grant funded by the MSIT(Artificial Intelligence Innovation Hub)of South Korea under Grant No.RS-2021-II212068 (Artificial Intelligence Innovation Hub)

the Korea Institute of Energy Technology Evaluation and Planning(KETEP)grant funded by the Ministry of Trade,Industry and Energy MOTIE。 (KETEP)

Journal of Computer Science & Technology

1000-9000

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