Speeding Up Edge Offloading for AI Services. Excerpted from “Deep compressive offloading: speeding up neural network inference by trading edge computation.

With the emergence of edge computing, offloading grows into a promising technique to circumvent end-device limitations. However, transferring data between local ...

Nov 19, 2020 · By integrating compressive sensing theory and deep learning, our framework can encode data for offloading into tiny sizes with negligible ...

Jun 17, 2021 · Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency. With recent advances, neural ...

This raises important research questions on how to endow low-end embedded and mobile devices with the appearance of intelligence despite their resource ...

A deep compressive offloading system to serve state-of-the-art computer vision and speech recognition services and can consistently reduce end-to-end ...

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Nov 16, 2020 · We build a deep compressive offloading system to serve state-of-the-art computer vision and speech recognition services. With comprehensive ...

For offloading DNN feature maps efficiently to avoid network bottlenecks, recent works utilize explainable AI [6] and compressed sensing [9] to compress feature ...

Missing: Services. | Show results with:Services.