DNN Inference Acceleration for Smart Devices in Industry 5.0 by Decentralized Deep Reinforcement Learning

With the emergence of Industry 5.0, there has been a significant surge in the need for intelligent services within the realm of smart devices. Currently, deep neural networks (DNNs) have become the predominant technology in driving advancements in intelligent applications. With the collaboration of...

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Vydáno v:	IEEE transactions on consumer electronics Ročník 70; číslo 1; s. 1519 - 1530
Hlavní autoři:	Dong, Chongwu, Shafiq, Muhammad, Dabel, Maryam M. Al, Sun, Yanbin, Tian, Zhihong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Artificial neural networks Computation offloading Decision making Deep learning Deep reinforcement learning DNN inference Edge AI Edge computing edge intelligence Electronic devices Fifth Industrial Revolution Industrial applications Industrial Internet of Things Industry 5.0 Inference Long short term memory Machine learning Markov processes Mobile computing multi-agent reinforcement learning Multi-agent systems Multiagent systems Network latency Optimization Performance evaluation Smart devices Synchronism
ISSN:	0098-3063, 1558-4127
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