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Updated: Jul 9, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

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Published on: February 15, 2017

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扩展和缩小:使用集群使用未标记数据的联合学习

Ajit Kumar1, Ankit Kumar Singh1, Syed Saqib Ali1

  • 1School of Computer Science and Engineering, Soongsil University, Seoul 06978, Republic of Korea.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
概括

使用未标记数据的联合学习 (FL) 是通过一种新的集群方法实现的,用于客户端的数据标签. 这种方法在物联网 (IoT) 生态系统中增强了保护隐私的深度学习.

关键词:
物联网的物联网,就是物联网.聚类集群是指聚类的聚类.深度学习是一种深度学习.联合学习的联合学习.标签 标签 标签 标签保护隐私 保护隐私 保护隐私半监督学习 半监督学习监督学习学习监督学习没有标记的数据集.监管能力较弱 监管能力较弱

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