The many faces of edge intelligence

E Peltonen, I Ahmad, A Aral, M Capobianco… - IEEE …, 2022 - ieeexplore.ieee.org
Edge Intelligence (EI) is an emerging computing and communication paradigm that enables
Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as …

AI-enabled future wireless networks: Challenges, opportunities, and open issues

M Elsayed, M Erol-Kantarci - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
An expected plethora of demanding services and use cases mandates a revolutionary shift
in the way future wireless network resources are managed. Indeed, when application …

Artificial-intelligence-enabled intelligent 6G networks

H Yang, A Alphones, Z Xiong, D Niyato, J Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
With the rapid development of smart terminals and infrastructures, as well as diversified
applications (eg, virtual and augmented reality, remote surgery and holographic projection) …

Edge intelligence: concepts, architectures, applications, and future directions

J Mendez, K Bierzynski, MP Cuéllar… - ACM Transactions on …, 2022 - dl.acm.org
The name edge intelligence, also known as Edge AI, is a recent term used in the past few
years to refer to the confluence of machine learning, or broadly speaking artificial …

[HTML][HTML] Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments

N Janbi, I Katib, A Albeshri, R Mehmood - Sensors, 2020 - mdpi.com
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …

6G wireless networks: Vision, requirements, architecture, and key technologies

Z Zhang, Y Xiao, Z Ma, M Xiao, Z Ding… - IEEE vehicular …, 2019 - ieeexplore.ieee.org
A key enabler for the intelligent information society of 2030, 6G networks are expected to
provide performance superior to 5G and satisfy emerging services and applications. In this …

A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning

X Wang, Y Han, C Wang, Q Zhao, X Chen… - Ieee …, 2019 - ieeexplore.ieee.org
Recently, along with the rapid development of mobile communication technology, edge
computing theory and techniques have been attracting more and more attention from global …

Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things

Y Liu, M Peng, G Shou, Y Chen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …

Edge intelligence: On-demand deep learning model co-inference with device-edge synergy

E Li, Z Zhou, X Chen - Proceedings of the 2018 workshop on mobile …, 2018 - dl.acm.org
As the backbone technology of machine learning, deep neural networks (DNNs) have have
quickly ascended to the spotlight. Running DNNs on resource-constrained mobile devices …