A cosine similarity-based token subsampling method for vision transformer in cloud computing

Deploying huge deep learning applications on resource-constrained edge devices is a challenging task. Cloud-based edge computing is a promising solution. Such as model partitioning, a portion of the deep learning model is deployed on the edge device; while, the remaining portion is executed by the c...

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Vydané v:	Neural computing & applications Ročník 37; číslo 4; s. 2627 - 2639
Hlavní autori:	Li, Qi, Kaneko, Hayata, Meng, Lin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.02.2025 Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Centroids Cloud computing Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Deep learning Edge computing Image Processing and Computer Vision Original Article Partitioning Probability and Statistics in Computer Science Similarity Transmission efficiency Vision Visual tasks Model partitioning Cosine similarity Vision transformer Cloud computing Token clustering Edge computing
ISSN:	0941-0643, 1433-3058
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