… This article provides an overview of efficient deeplearning … We then cover efficient on-device training to enable user … , we introduce the efficient deeplearning system design from …
J Wang, B Cao, P Yu, L Sun, W Bao… - 2018 IEEE 38th …, 2018 - ieeexplore.ieee.org
… of blending deeplearning and mobiledevices is just the beginning. … deeplearning on mobile devices from three aspects: training by using mobile data, inference on mobiledevices, and …
… mobiledevices. Specifically, we summarize and compare the state-of-the-art DL techniques on mobiledevices … We generalize an optimization pipeline for bringing DL to mobiledevices, …
… that using mobiledevices to support deeplearning is feasible, … deeplearning on mobile devices. The contributions in this study are as follows: (1) extend commonly used deeplearning …
X Ran, H Chen, Z Liu, J Chen - Proceedings of the Workshop on Virtual …, 2017 - dl.acm.org
… front-end devices with more powerful back-end “helpers” that allow deeplearning to be … system parameters of video resolution, deeplearning model size, and offloading decision. …
… Besides, the excessive energy consumption from performing deeplearning models on battery-powered mobiledevices is also a severe problem to be solved. Moreover, diverse …
… The blending of learning algorithms and mobile computing taking place today is only the … particular, that deeplearning will play a prominent role in the evolution of smart devices (such …
… , traditional machine learning technologies. … mobiledevices has attracted significant attention. Thanks to this technology, portable devices may become smart objects capable of learning …
J Liu, J Liu, W Du, D Li - 2019 IEEE 25th International …, 2019 - ieeexplore.ieee.org
… when we train deeplearning models on mobiledevices? … train deeplearning models more efficiently on mobiledevices. … with various deeplearning models on a specific mobiledevice, …