Machine Intelligence at the Edge with Learning Centric Power Allocation

Machine Intelligence at the Edge with Learning Centric Power Allocation

12 November 2019

Yik-Chung Wu

H. Vincent Poor

Papers citing "Machine Intelligence at the Edge with Learning Centric Power Allocation"

6 / 6 papers shown

Title
Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication Shisheng Hu Jie Gao Xinyu Huang Mushu Li Kaige Qu Conghao Zhou Xuemin Shen Shen 28 5 0 20 Nov 2023
Accelerating Edge Intelligence via Integrated Sensing and Communication Tong Zhang Shuai Wang Guoliang Li Fan Liu Guangxu Zhu Rui-cang Wang 20 34 0 20 Jul 2021
Learning Centric Power Allocation for Edge Intelligence Shuai Wang Rui-cang Wang Qi Hao Yik-Chung Wu H. Vincent Poor 17 9 0 21 Jul 2020
An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction Shuai Yu Xu Chen Shuai Wang Lingjun Pu Di Wu 24 20 0 03 Jul 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 108 1,154 0 04 Mar 2015