Federated Q-Learning-Based Optimization for Resource Allocation in Industrial IoT Networks
In Industrial Internet of Things (IIoT) contexts, efficient predictive maintenance and resource allocation is important to reducing downtime and improving operational performance. This study introduces a novel federated reinforcement learning approach that addresses these difficulties by enabling se...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IEEE
2025-01-01
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| Collection: | IEEE Access |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/11215732/ |
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