FEDERATED LEARNING WITH STOCHASTIC GRADIENT DESCENT FOR SMART METER ENERGY FORECASTING

Background. Smart meters are widely used to monitor household energy consumption and help improve energy efficiency. However, collecting this data in a centralized location raises privacy concerns, as detailed consumption records can reveal sensitive household behavior. Federated learning provides a...

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Hlavní autor:	Bharat Khushalani
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Ivan Franko National University of Lviv 2025-06-01
Edice:	Електроніка та інформаційні технології
Témata:	federated learning smart meters energy forecasting stochastic gradient descent privacy-preserving machine learning decentralized optimization
On-line přístup:	http://publications.lnu.edu.ua/collections/index.php/electronics/article/view/4886
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