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This paper introduces partitioning an inference task of a deep neural network between an edge and a host platform in the IoT environment.
Deep convolutional neural network based species recognition for wild animal monitoring
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Karen Simonyan et al · 2014
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Cross-scene crowd counting via deep convolutional neural networks
Cong Zhang et al · 2015
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Deep Compression - Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han et al · 2016
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K. Bong et al · 2017
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Jedec standard: Low power double data rate 4, https://www.jedec.org/sites/default/files/docs/jesd209-4.pdf
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Redpine Signals RS9110-N-11-02 802.11bgn WLAN Module Data Sheet
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Distributed deep neural networks over the cloud, the edge and end devices
S. Teerapittayanon et al · 2017
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Image quality assessment guided deep neural networks training
Zhuo Chen et al · 2017
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Adaptive weight compression for memory-efficient neural networks
J. Ko et al · 2017
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Deep residual learning for image recognition
Songtao Wu et al · 2017
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