Edge learning for 6G-enabled Internet of Things: A comprehensive survey of vulnerabilities, datasets, and defenses
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
A study on multi-antenna and pertinent technologies with AI/ML approaches for B5G/6G networks
The quantum leap in mobile data traffic and high density of wireless electronic devices,
coupled with the advancements in industrial radio monitoring and autonomous systems …
coupled with the advancements in industrial radio monitoring and autonomous systems …
Machine learning for millimeter wave and terahertz beam management: A survey and open challenges
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
Asynchronous hybrid reinforcement learning for latency and reliability optimization in the metaverse over wireless communications
Technology advancements in wireless communications and high-performance Extended
Reality (XR) have empowered the developments of the Metaverse. The demand for the …
Reality (XR) have empowered the developments of the Metaverse. The demand for the …
Resource allocation of federated learning for the metaverse with mobile augmented reality
The Metaverse has received much attention recently. Metaverse applications via mobile
augmented reality (MAR) require rapid and accurate object detection to mix digital data with …
augmented reality (MAR) require rapid and accurate object detection to mix digital data with …
Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
AI-enabled reliable QoS in multi-RAT wireless IoT networks: Prospects, challenges, and future directions
K Zia, A Chiumento… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Wireless IoT networks have seen an unprecedented rise in number of devices,
heterogeneity and emerging use cases which led to diverse throughput, reliability and …
heterogeneity and emerging use cases which led to diverse throughput, reliability and …
Distributed machine learning for uav swarms: Computing, sensing, and semantics
The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …
generation communication networks with their extraordinary flexibility, affordability, and the …
Decentralized DNN task partitioning and offloading control in MEC systems with energy harvesting devices
In this paper, we study a decentralized deep neural network (DNN) task partitioning and
offloading control problem for a multi-access edge computing (MEC) system with multiple …
offloading control problem for a multi-access edge computing (MEC) system with multiple …