Task offloading mechanism based on federated reinforcement learning in mobile edge computing

Task offloading mechanism based on federated reinforcement learning in mobile edge computing

With the arrival of 5G, latency-sensitive applications are becoming increasingly diverse. Mobile Edge Computing (MEC) technology has the characteristics of high bandwidth, low latency and low energy consumption, and has attracted much attention among researchers. To improve the Quality of Service (Q...

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Bibliographic Details
Main Authors:	Jie Li, Zhiping Yang, Xingwei Wang, Yichao Xia, Shijian Ni
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2023-04-01
Series:	Digital Communications and Networks
Subjects:	Mobile edge computing Task offloading QoS Deep reinforcement learning Federated learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352864822000554

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