Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services

M Xu, H Du, D Niyato, J Kang, Z Xiong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Blockchain-empowered federated learning: Challenges, solutions, and future directions

J Zhu, J Cao, D Saxena, S Jiang, H Ferradi - ACM Computing Surveys, 2023 - dl.acm.org
Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …

Security and privacy on 6g network edge: A survey

B Mao, J Liu, Y Wu, N Kato - IEEE communications surveys & …, 2023 - ieeexplore.ieee.org
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …

IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends

S Qazi, BA Khawaja, QU Farooq - Ieee Access, 2022 - ieeexplore.ieee.org
Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …

UAV computing-assisted search and rescue mission framework for disaster and harsh environment mitigation

SH Alsamhi, AV Shvetsov, S Kumar, SV Shvetsova… - Drones, 2022 - mdpi.com
Disasters are crisis circumstances that put human life in jeopardy. During disasters, public
communication infrastructure is particularly damaged, obstructing Search And Rescue …

Blockchain meets federated learning in healthcare: A systematic review with challenges and opportunities

R Myrzashova, SH Alsamhi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Recently, innovations in the Internet of Medical Things (IoMT), information and
communication technologies, and machine learning (ML) have enabled smart healthcare …

Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0

SH Alsamhi, AV Shvetsov, S Kumar, J Hassan… - Drones, 2022 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …

Wildland fire detection and monitoring using a drone-collected RGB/IR image dataset

X Chen, B Hopkins, H Wang, L O'Neill, F Afghah… - IEEE …, 2022 - ieeexplore.ieee.org
Current forest monitoring technologies including satellite remote sensing, manned/piloted
aircraft, and observation towers leave uncertainties about a wildfire's extent, behavior, and …

A survey of mobility-aware multi-access edge computing: Challenges, use cases and future directions

R Singh, R Sukapuram, S Chakraborty - Ad Hoc Networks, 2023 - Elsevier
Many mobile and pervasive applications avail cloud services to reduce overheads in on-
device computation. The performance of these services depends on the available bandwidth …