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Updated: Feb 14, 2026

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个性化联合学习与层次化的双分支聚合为少数镜头场景

Yifan Miao1,2, Weishan Zhang1,2, Yuhan Wang1,2

  • 1College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
概括

本研究介绍了pFedH2A,这是个性化联合学习 (pFL) 的一个新框架,它增强了几次拍摄的分类. 这种方法通过模仿大脑功能,有效地平衡了概括和个性化,优于现有的方法.

关键词:
大脑启发的学习几次射击的学习学习超级网络是一个超级网络.个性化的联合学习.关系网络 关系网络.

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