Hierarchical Federated Learning Incentivization for Gas Usage Estimation

Accurately estimating gas usage is essential for the efficient functioning of gas distribution networks and saving operational costs. Traditional methods rely on centralized data processing, which poses privacy risks. Federated learning (FL) offers a solution to this problem by enabling local data p...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Sun, Has, Tang, Xiaoli, Yang, Chengyi, Yu, Zhenpeng, Wang, Xiuli, Ding, Qijie, Li, Zengxiang, Han, Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	Clean energy Company structure Data processing Distribution functions Estimation Federated learning Heating Natural gas Natural gas utilities
Online-Zugang:	Volltext
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