Edge AI: A taxonomy, systematic review and future directions
Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …
and devices that receive, cache, process, and analyse data in close communication with the …
A survey on reconfigurable intelligent surfaces assisted multi-access edge computing networks: State of the art and future challenges
This survey provides a comprehensive analysis of the integration of Reconfigurable
Intelligent Surfaces (RIS) with edge computing, underscoring RIS's critical role in advancing …
Intelligent Surfaces (RIS) with edge computing, underscoring RIS's critical role in advancing …
Enabling federated learning across the computing continuum: Systems, challenges and future directions
In recent years, as the boundaries of computing have expanded with the emergence of the
Internet of Things (IoT) and its increasing number of devices continuously producing flows of …
Internet of Things (IoT) and its increasing number of devices continuously producing flows of …
Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technology
The use of blockchain technology in sixth-generation (6G) networks promises substantial
improvements in security, privacy, efficiency, and cost-effectiveness. Extensive research has …
improvements in security, privacy, efficiency, and cost-effectiveness. Extensive research has …
[HTML][HTML] Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning
This article comprehensively reviews the emerging concept of Internet of Intelligent Things
(IoIT), adopting an integrated perspective centred on the areas of embedded systems, edge …
(IoIT), adopting an integrated perspective centred on the areas of embedded systems, edge …
[HTML][HTML] Federated learning enables 6 G communication technology: Requirements, applications, and integrated with intelligence framework
The 5 G networks are effectively deployed worldwide, and academia and industries have
begun looking at 6 G network communication technology for consumer electronics …
begun looking at 6 G network communication technology for consumer electronics …
6G: The Intelligent Network of Everything--A Comprehensive Vision, Survey, and Tutorial
The global 6G vision has taken its shape after years of international research and
development efforts. This work culminated in ITU-R's Recommendation on" IMT-2030 …
development efforts. This work culminated in ITU-R's Recommendation on" IMT-2030 …
Convergence Analysis and Energy Minimization for Reconfigurable Intelligent Surface-Assisted Federated Learning
S Zhang, Z Yang, G Chen, Z Dong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper considers reconfigurable intelligent surface (RIS)-enabled federated learning
(FL) system, where the FL users communicate with the access point (AP) via RIS. To reveal …
(FL) system, where the FL users communicate with the access point (AP) via RIS. To reveal …
Federated Learning for Urban Sensing Systems: A Comprehensive Survey on Attacks, Defences, Incentive Mechanisms, and Applications
In recent years, advancements in Artificial Intelligence (AI), the Internet of Things (IoT) and
wireless technologies have propelled the evolution of smart cities. Urban sensing systems …
wireless technologies have propelled the evolution of smart cities. Urban sensing systems …
Improving energy efficiency in federated learning through the optimization of communication resources scheduling of wireless iot networks
Federated Learning (FL) allows devices to train a global machine learning model without
sharing data. In the context of wireless networks, the inherently unreliable nature of the …
sharing data. In the context of wireless networks, the inherently unreliable nature of the …