Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning

no code implementations • 7 Sep 2020 • Dan Liu, Shuai Wang, Zhigang Wen, Lei Cheng, Miaowen Wen, Yik-Chung Wu

However, different devices may transmit different data for different machine learning jobs and a fundamental question is how to jointly plan the UGV path, the devices' energy consumption, and the number of samples for different jobs?

BIG-bench Machine Learning Edge-computing