Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing

Z Zeng, C Chen, B Veeravalli, K Li, JT Zhou - Neurocomputing, 2022 - Elsevier
Recent years have witnessed the proliferation of mobile computing and Internet-of-Things
(IoT), where billions of mobile and IoT devices are connected to the Internet, generating …

Communication-efficient distributed AI strategies for the IoT edge

C Mwase, Y Jin, T Westerlund, H Tenhunen… - Future Generation …, 2022 - Elsevier
The impact that artificial intelligence (AI) has made across several industries in today's
society is clearly seen in applications ranging from medical diagnosis to customer service …

[图书][B] Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design

S Guo, Z Qu - 2022 - books.google.com
"" Traditionally, to develop these intelligent services and applications, big data are stored
and processed in a centralized model. However, with the proliferation of edge devices and …

Edge AI: A Taxonomy, Systematic Review and Future Directions

SS Gill, M Golec, J Hu, M Xu, J Du, H Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and
devices that receive, cache, process, and analyse data in close communication with the …

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 …

[图书][B] Edge AI: Convergence of edge computing and artificial intelligence

X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen - 2020 - Springer
As an important enabler for changing people's lives, advances in artificial intelligence (AI)-
based applications and services are on the rise, despite being hindered by efficiency and …

Edge mesh: A new paradigm to enable distributed intelligence in internet of things

Y Sahni, J Cao, S Zhang, L Yang - IEEE access, 2017 - ieeexplore.ieee.org
In recent years, there has been a paradigm shift in Internet of Things (IoT) from centralized
cloud computing to edge computing (or fog computing). Developments in ICT have resulted …

Special issue on Distributed Intelligence at the Edge for the Future Internet of Things

A Goscinski, FC Delicato, G Fortino… - Journal of Parallel and …, 2023 - Elsevier
Currently and even more in the future, business, industry, finance and retail, healthcare,
media, entertainment, and many others, are and will be completely managed, coordinated …

Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

[HTML][HTML] HED-FL: A hierarchical, energy efficient, and dynamic approach for edge Federated Learning

F De Rango, A Guerrieri, P Raimondo… - Pervasive and Mobile …, 2023 - Elsevier
The increasing data produced by IoT devices and the need to harness intelligence in our
environments impose the shift of computing and intelligence at the edge, leading to a novel …