Deep learning on mobile devices
Description
While traditional computation paradigms rely on mobile sensing and cloud computing, deep learning implemented on mobile devices provides several advantages. These advantages include low communication bandwidth, small cloud computing resource cost, quick response time, and improved data privacy.
Source arxiv.org/abs/1904.09274
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treated in DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices
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In this work, we present the design and implementation of DeepX, a software accelerator for deep lear...
treated in Deep Learning on Mobile Devices - A Review
While traditional computation paradigms rely on mobile sensing and cloud computing, deep learning imp...