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Updated: Jul 13, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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在资源受限制的联合学习系统中,分化和征服NAS拼图

Yeshwanth Venkatesha1, Youngeun Kim1, Hyoungseob Park1

  • 1Department of Electrical Engineering, Yale University, New Haven, CT, USA.

Neural networks : the official journal of the International Neural Network Society
|October 14, 2023
PubMed
概括

联合学习 (FL) 使用DC-NAS有效地设计神经架构. 这种方法可以减少50%的资源需求,同时在分布式机器学习系统中保持高精度.

关键词:
联合学习是联合学习.神经架构搜索神经架构搜索

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