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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Bibliografske podrobnosti

Principais autores:	Jie Lv, Jingjing Fu, Desong Shen
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2025-01-01
Serija:	IEEE Access
Teme:	Federated learning site landscape design optimization multi-task Bayesian modeling hypergraph enhancement feature distribution
Online dostop:	https://ieeexplore.ieee.org/document/11218830/
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