Enhancing Incentive Schemes in Edge Computing through Hierarchical Reinforcement Learning
Edge learning is a distributed approach for training machine learning models using data from edge devices. It preserves privacy by avoiding direct data sharing. However, existing systems struggle with resource inefficiency, malicious node participation and lack of long-term sustainability. These ch...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Technology and Education Galileo da Amazônia
2025-04-01
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| Series: | ITEGAM-JETIA |
| Online Access: | https://itegam-jetia.org/journal/index.php/jetia/article/view/1637 |
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