Federated learning in mobile edge networks : a comprehensive survey

• Main Authors: Lim, Bryan Wei Yang, Luong, Nguyen Cong, Hoang, Dinh Thai, Jiao, Yutao, Liang, Ying-Chang, Yang, Qiang, Niyato, Dusit, Miao, Chunyan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Federated Learning; Mobile Edge Networks
• Online Access: https://hdl.handle.net/10356/144291
• Institution: Nanyang Technological University

In recent years, mobile devices are equipped with increasingly advanced sensing and computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up countless possibilities for meaningful applications, e.g., for medical purposes and in vehicular networks. Traditional cloud-base...