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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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Hovedforfatter: Bharat Khushalani
Format: Artigo
Sprog:Inglês
Udgivet: Ivan Franko National University of Lviv 2025-06-01
Serier:Електроніка та інформаційні технології
Fag:
federated learning
smart meters
energy forecasting
stochastic gradient descent
privacy-preserving machine learning
decentralized optimization
Online adgang:http://publications.lnu.edu.ua/collections/index.php/electronics/article/view/4886
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