Federated learning for internet of things: Recent advances, taxonomy, and open challenges
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithm for both network and application management. However, given the presence of …
algorithm for both network and application management. However, given the presence of …
[HTML][HTML] Federated learning in edge computing: a systematic survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
Convergence of edge computing and deep learning: A comprehensive survey
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 …
massive amounts of data, and ever-increasing computing power is driving the core of …
Vehicular edge computing and networking: A survey
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …
(VANET) has received remarkable interest from academia and industry. The emerging …
Mobility-aware proactive edge caching for connected vehicles using federated learning
Content Caching at the edge of vehicular networks has been considered as a promising
technology to satisfy the increasing demands of computation-intensive and latency-sensitive …
technology to satisfy the increasing demands of computation-intensive and latency-sensitive …
Mobile edge intelligence and computing for the internet of vehicles
J Zhang, KB Letaief - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …
advancements in vehicular communications and networking. Meanwhile, the capability and …
Toward enabled industrial verticals in 5G: A survey on MEC-based approaches to provisioning and flexibility
F Spinelli, V Mancuso - IEEE Communications Surveys & …, 2020 - ieeexplore.ieee.org
The increasing number of heterogeneous devices connected to the Internet, together with
tight 5G requirements have generated new challenges for designing network infrastructures …
tight 5G requirements have generated new challenges for designing network infrastructures …
Fog computing for sustainable smart cities in the IoT era: Caching techniques and enabling technologies-an overview
H Zahmatkesh, F Al-Turjman - Sustainable cities and society, 2020 - Elsevier
In recent decade, the number of devices involved with the Internet of Things (IoT)
phenomena has increased dramatically. Parallel to this, fog computing paradigm has been …
phenomena has increased dramatically. Parallel to this, fog computing paradigm has been …
A survey of collaborative machine learning using 5G vehicular communications
SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …
communications allow AVs to collaborate on solving common autonomous driving tasks …
[HTML][HTML] Survey on intelligence edge computing in 6G: Characteristics, challenges, potential use cases, and market drivers
Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks
and beyond. IEC is considered to be a promising backbone of future services and wireless …
and beyond. IEC is considered to be a promising backbone of future services and wireless …