Site Landscape Design Optimization Based on YOLOv13 and Multi-Task Bayesian Federated Learning (YOLOv13-HyperACE-BFL)
Current distributed processing of site landscape images suffers from uneven sample distribution and multi-task gradient conflicts, which can easily lead to poor detection performance in federated learning. To address this issue, this paper proposes the YOLOv13-HyperACE-BFL (BFL, Bayesian Federated L...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2025-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11218830/ |
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