Deep reinforcement learning based worker selection for distributed machine learning enhanced edge intelligence in internet of vehicles

Deep reinforcement learning based worker selection for distributed machine learning enhanced edge intelligence in internet of vehicles

Nowadays, Edge Information System (EIS) has received a lot of attentions. In EIS, Distributed Machine Learning (DML), which requires fewer computing resources, can implement many artificial intelligent applications efficiently. However, due to the dynamical network topology and the fluctuating trans...

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Bibliographic Details
Main Authors: Junyu Dong, Wenjun Wu, Yang Gao, Xiaoxi Wang, Pengbo Si
Format: Article
Language:English
Published: Tsinghua University Press 2020-12-01
Series:Intelligent and Converged Networks
Subjects:
edge information system
internet of vehicles
distributed machine learning
deep reinforcement learning
worker selection
Online Access:https://www.sciopen.com/article/10.23919/ICN.2020.0015

Internet

https://www.sciopen.com/article/10.23919/ICN.2020.0015

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