HiveMind: Towards Cellular Native Machine Learning Model Splitting

Song Wang,Xinyu Zhang, Hiromasa Uchiyama,Hiroki Matsuda

IEEE Journal on Selected Areas in Communications（2022）

引用 33|浏览16

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摘要

The increasing processing load of today’s mobile machine learning (ML) application challenges the stringent computation budget of mobile user equipment (UE). With the wide deployment of 5G edge-cloud, a new ML offloading scheme called split ML is provisioned to enable computation-intensive mobile ML applications by splitting an ML model across mobile UE, edge, and cloud. However, the complex split...

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关键词

Computational modeling,5G mobile communication,Servers,Load modeling,Data models,Adaptation models,Training

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