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 **ong… - … 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 …

Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …

A survey on over-the-air computation

A Şahin, R Yang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …

A survey on integrated sensing, communication, and computation

D Wen, Y Zhou, X Li, Y Shi, K Huang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …

Over-the-air computation for 6G: Foundations, technologies, and applications

Z Wang, Y Zhao, Y Zhou, Y Shi, C Jiang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …

When crowdsensing meets smart cities: A comprehensive survey and new perspectives

Z Wang, Y Cao, K Jiang, H Zhou, J Kang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …

A graph neural network learning approach to optimize RIS-assisted federated learning

Z Wang, Y Zhou, Y Zou, Q An, Y Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial
intelligence paradigm, where over-the-air computation enables spectral-efficient model …

Federated learning over wireless networks: Challenges and solutions

M Beitollahi, N Lu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Motivated by ever-increasing computational resources at edge devices and increasing
privacy concerns, a new machine learning (ML) framework called federated learning (FL) …

Toward scalable wireless federated learning: Challenges and solutions

Y Zhou, Y Shi, H Zhou, J Wang, L Fu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The explosive growth of smart devices (eg, mobile phones, vehicles, drones) with sensing,
communication, and computation capabilities gives rise to an unprecedented amount of …

Over-the-air federated learning and optimization

J Zhu, Y Shi, Y Zhou, C Jiang, W Chen… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Federated edge learning (FL), as an emerging distributed machine learning paradigm,
allows a mass of edge devices to collaboratively train a global model while preserving …