A Federated Learning and Deep Reinforcement Learning-Based Method with Two Types of Agents for Computation Offload

A Federated Learning and Deep Reinforcement Learning-Based Method with Two Types of Agents for Computation Offload

With the rise of latency-sensitive and computationally intensive applications in mobile edge computing (MEC) environments, the computation offloading strategy has been widely studied to meet the low-latency demands of these applications. However, the uncertainty of various tasks and the time-varying...

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Bibliographic Details
Main Authors:	Song Liu, Shiyuan Yang, Hanze Zhang, Weiguo Wu
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Sensors
Subjects:	mobile edge computing computation offloading strategy multi-agent system deep reinforcement learning federated learning
Online Access:	https://www.mdpi.com/1424-8220/23/4/2243

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