Deep Models, typically Deep neural networks, have millions of parameters, analyze medical data accurately, yet in a time-consuming method. However, energy cost effectiveness and computational efficiency are important for prerequisites developing and deploying mobile-enabled devices, the mainstream trend in connected healthcare.
@article{arxiv.1902.05429,
title = {Structured Bayesian Compression for Deep models in mobile enabled devices for connected healthcare},
author = {Sijia Chen and Bin Song and Xiaojiang Du and Nadra Guizani},
journal= {arXiv preprint arXiv:1902.05429},
year = {2019}
}