TY - JOUR
T1 - Guest Editorial Distributed Signal Processing for Edge Learning in B5G IoT Networks
AU - Xu, Wei
AU - Ng, Derrick Wing Kwan
AU - Levorato, Marco
AU - Eldar, Yonina C.
AU - Debbah, Merouane
N1 - The guest editors would like to express their sincere gratitude to all the authors for submitting their valuable contributions to this SI. The guest editors are also grateful to all the reviewers for their constructive comments and suggestions. The guest editors are also indebted to the Executive Editor Mikaela Langdon for supporting this SI
PY - 2023/1/1
Y1 - 2023/1/1
N2 - The papers in this special section focus on distributed signal processing for edge learning (EL). EL is a new and promising technology for implementing artificial intelligence (AI) algorithms at edge devices over wireless networks. With the explosive growth in global data traffic, the number of edge devices such as mobile edge computing (MEC), satellite networks, and the Internet-ofthings (IoT) devices increase rapidly. Machine learning (ML) techniques, including deep learning (DL), federated learning (FL), and reinforcement learning (RL), are effective approaches to improve the performance and efficiency of edge networks.
AB - The papers in this special section focus on distributed signal processing for edge learning (EL). EL is a new and promising technology for implementing artificial intelligence (AI) algorithms at edge devices over wireless networks. With the explosive growth in global data traffic, the number of edge devices such as mobile edge computing (MEC), satellite networks, and the Internet-ofthings (IoT) devices increase rapidly. Machine learning (ML) techniques, including deep learning (DL), federated learning (FL), and reinforcement learning (RL), are effective approaches to improve the performance and efficiency of edge networks.
UR - http://www.scopus.com/inward/record.url?scp=85149228149&partnerID=8YFLogxK
U2 - 10.1109/JSTSP.2022.3227720
DO - 10.1109/JSTSP.2022.3227720
M3 - كلمة العدد
SN - 1932-4553
VL - 17
SP - 3
EP - 8
JO - IEEE Journal on Selected Topics in Signal Processing
JF - IEEE Journal on Selected Topics in Signal Processing
IS - 1
ER -