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Updated: Feb 13, 2026

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关键电力基础设施处理数据异质性的联合学习,用于变电站设备的预测性维护

Soham Ghosh1, Gaurav Mittal2

  • 1Department of Electrical Engineering, Black and Veatch, Overland Park, KS, United States.

Frontiers in artificial intelligence
|February 12, 2026
PubMed
概括

联合学习通过实现协作模型培训而无需共享敏感数据来增强关键电力基础设施的预测性维护. 联合批量规范化 (FedBN) 有效地解决了公用事业提供商之间的数据异质性.

关键词:
分布式学习是一种分布式的学习.联邦信息标准 联合信息标准联合学习的联合学习预防性维护是预防性维护.变电站的维护和维护

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