Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G

• Main Authors: Ngah, Razali, Salh, Adeeb, Audah, Lukman, Abdullah, Qazwan, Kim, Kwang Soon, Al-Moliki, Yahya Mohammed Hameed, AlJaloud, Khaled A., Talib, Md Hairul Nizam
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Online Access: http://eprints.utem.edu.my/id/eprint/27324/2/0033727122023614.PDF; http://eprints.utem.edu.my/id/eprint/27324/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10041930

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...