FedBranched : leveraging federated learning for anomaly-aware load forecasting in energy networks

autor
Manzoor, Habib Ullah
Khan, Ahsan Raza
Flynn, David
Akram, Muhammad
vastutusandmed
Habib Ullah Manzoor, Ahsan Raza Khan, David Flynn, Muhammad Mahtab Alam, Muhammad Akram, Muhammad Ali Imran and Ahmed Zoha
allikas
kirjastus/väljaandja
ajakirja aastakäik number kuu
vol. 23, 7
ilmumisaasta
leheküljed
art. 3570
ISSN
1424-8220
märkused
Bibliogr.: 30 ref
Special Issue: Machine Learning Techniques for Energy Efficient IoT Networks
Bibliogr.: 30 ref
Open Access
Open Access
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
1.1
kvartiil
Q1
keel
inglise
Manzoor, H. U., Khan, A. R., Flynn, D., Alam, M. M., Akram, M., Imran, M. A., Zoha, A. FedBranched : leveraging federated learning for anomaly-aware load forecasting in energy networks // Sensors (2023) vol. 23, 7, art. 3570. https://doi.org/10.3390/s23073570