A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks

20 July 2020

Papers citing "A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks"

6 / 6 papers shown

Title
Deep Learning for Optimal Deployment of UAVs with Visible Light Communications Yining Wang Mingzhe Chen Zhaohui Yang T. Luo Walid Saad 36 96 0 28 Nov 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 64 1,184 0 17 Sep 2019
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin Rui Dong Changyang She Wibowo Hardjawana Yonghui Li Branka Vucetic 30 165 0 30 Jun 2019
Security in Mobile Edge Caching with Reinforcement Learning Liang Xiao Xiaoyue Wan Canhuang Dai Xiaojiang Du Xiang Chen Mohsen Guizani 28 192 0 18 Jan 2018
Computation Rate Maximization for Wireless Powered Mobile-Edge Computing with Binary Computation Offloading Suzhi Bi Y. Zhang 31 690 0 29 Aug 2017
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing Jie Xu Lixing Chen Shaolei Ren 40 303 0 17 Mar 2017