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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964467/ https://www.ncbi.nlm.nih.gov/pubmed/36850846 http://dx.doi.org/10.3390/s23042243 |