PipeSC: a split computing framework for pipeline implementations considering independent input batch sizes

Split computing has gained attention in deep learning as a scheme for edge computing. Split computing splits a model into head and tail models. The head model is executed on the local device and its output sent to the edge server. This output forms the input to the tail model that resides on the edg...

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Bibliographic Details
Main Author: Zhu, Zhentao
Other Authors: Tay Wee Peng
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181324
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Institution: Nanyang Technological University
Language: English
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