DPRL: Task Offloading Strategy Based on Differential Privacy and Reinforcement Learning in Edge Computing

Mobile edge computing has been widely used in various IoT devices due to its excellent computing power and good interaction speed. Task offloading is the core of mobile edge computing. However, most of the existing task offloading strategies only focus on improving the unilateral performance of MEC,...

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Autors principals:	Peiying Zhang, Peng Gan, Lunjie Chang, Wu Wen, M. Selvi, Godfrey Kibalya
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2022-01-01
Col·lecció:	IEEE Access
Matèries:	Mobile edge computing task offloading differential privacy reinforcement learning
Accés en línia:	https://ieeexplore.ieee.org/document/9775102/
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