@inproceedings{4441fcd0702e4de5af559d171b2bd43a,
title = "Robust Wireless Fronthauling Methods for Decentralized Deep Learning in Fog-RAN",
abstract = "This paper designs wireless fronthauling techniques for deep learning (DL) enabled fog radio access networks (F-RANs) where computation and communication processes at a cloud and edge nodes (ENs) are carried out by deep neural networks (DNNs). Coordination among ENs and the cloud is realized by wireless fronthaul links, which incurs undesired randomness in forwardpass calculations of DNNs. To address this issue, we propose a robust training strategy whereby a group of DNNs can mitigate the impairment from fronthaul fading and additive noise. Numerical results demonstrate the superiority of the proposed robust wireless fronthauling scheme.",
keywords = "Deep learning, fog radio access networks, wireless fronthauling",
author = "Hoon Lee and Junbeom Kim and Park, \{Seok Hwan\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 12th International Conference on Information and Communication Technology Convergence, ICTC 2021 ; Conference date: 20-10-2021 Through 22-10-2021",
year = "2021",
doi = "10.1109/ICTC52510.2021.9621080",
language = "English",
series = "International Conference on ICT Convergence",
publisher = "IEEE Computer Society",
pages = "315--317",
booktitle = "ICTC 2021 - 12th International Conference on ICT Convergence",
}