Forecasting energy power consumption using federated learning in edge computing devices-Reference-Cited by-同舟云学术

Forecasting energy power consumption using federated learning in edge computing devices

Published:2024-04 Issue: Volume:25 Page:101050
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Sarmento Eduardo Montagner de Moraes,Ribeiro Iran Freitas^ORCID,Marciano Pablo Rafael Neves,Neris Yrui Giovan,Rocha Helder Roberto de Oliveira,Mota Vinícius Fernandes Soares^ORCID,Villaça Rodolfo da Silva^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Ministério da Ciência, Tecnologia e Inovação

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa e Inovação do Espírito Santo

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference46 articles.

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5. Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation;Chen;Appl. Energy,2023

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