Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. The transmission of data from IoT devices to the edge nodes leads to large network traffic in the wireless connections. Federated...

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Main Authors: ADEB SALH, ADEB SALH, RAZALI NGAH, RAZALI NGAH, LUKMAN AUDAH, LUKMAN AUDAH, KWANG SOON KIM, KWANG SOON KIM, QAZWAN ABDULLAH, QAZWAN ABDULLAH, YAHYA M. AL-MOLIKI, YAHYA M. AL-MOLIKI, KHALED A. ALJALOUD, KHALED A. ALJALOUD, HAIRUL NIZAM TALIB, HAIRUL NIZAM TALIB
Format: Article
Language:English
Published: Ieee Acces 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/10307/1/J15916_cf78dab738eabff1c909c88fd9243b22.pdf
http://eprints.uthm.edu.my/10307/
https://doi.org/10.1109/ACCESS.2023.3244099
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Institution: Universiti Tun Hussein Onn Malaysia
Language: English

Internet

http://eprints.uthm.edu.my/10307/1/J15916_cf78dab738eabff1c909c88fd9243b22.pdf
http://eprints.uthm.edu.my/10307/
https://doi.org/10.1109/ACCESS.2023.3244099

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