Aug. 4, 2022, 1:20 a.m. | Huming Qiu, Hua Ma, Zhi Zhang, Yifeng Zheng, Anmin Fu, Pan Zhou, Yansong Gao, Derek Abbott, Said F. Al-Sarawi

cs.CR updates on arXiv.org arxiv.org

Though deep neural network models exhibit outstanding performance for various
applications, their large model size and extensive floating-point operations
render deployment on mobile computing platforms a major challenge, and, in
particular, on Internet of Things devices. One appealing solution is model
quantization that reduces the model size and uses integer operations commonly
supported by microcontrollers . To this end, a 1-bit quantized DNN model or
deep binary neural network maximizes the memory efficiency, where each
parameter in a BNN model …

binary internet internet of things ip memory network neural network protection things

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