DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

@inproceedings{Yao2017DeepIoTCD,
  title={DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework},
  author={Shuochao Yao and Yiran Zhao and Aston Zhang and Lu Su and Tarek F. Abdelzaher},
  booktitle={SenSys},
  year={2017}
}
Recent advances in deep learning motivate the use of deep neutral networks in sensing applications, but their excessive resource needs on constrained embedded devices remain an important impediment. A recently explored solution space lies in compressing (approximating or simplifying) deep neural networks in some manner before use on the device. We propose a new compression solution, called DeepIoT, that makes two key contributions in that space. First, unlike current solutions geared for… CONTINUE READING
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