Energy-efficient device selection and resource allocation for edge-driven hierarchical federated learning
Hierarchical federated learning has emerged as a promising approach to enhance the scalability and efficiency of federated learning in large-scale Internet of Things (IoT) environments. However, existing frameworks often struggle with energy efficiency, adaptability to dynamic conditions, and the co...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302502064X |
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