A comprehensive survey on tinyml

Y Abadade, A Temouden, H Bamoumen… - IEEE …, 2023 - ieeexplore.ieee.org
Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …

A survey on trustworthy edge intelligence: From security and reliability to transparency and sustainability

X Wang, B Wang, Y Wu, Z Ning… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Edge Intelligence (EI) integrates Edge Computing (EC) and Artificial Intelligence (AI) to push
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …

A survey of beam management for mmWave and THz communications towards 6G

Q Xue, C Ji, S Ma, J Guo, Y Xu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …

Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey

M Le, T Huynh-The, T Do-Duy, TH Vu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
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) …

Synergizing Artificial Intelligence, 5G, and Cloud Computing for Efficient Energy Conversion Using Agricultural Waste

AV Agrawal, G Shashibhushan, S Pradeep… - … Science and Intelligent …, 2023 - igi-global.com
The combination of artificial intelligence, 5G technology, and cloud computing has altered
energy conversion processes, most notably the use of agricultural waste for sustainable …

End-edge-cloud collaborative computing for deep learning: A comprehensive survey

Y Wang, C Yang, S Lan, L Zhu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The booming development of deep learning applications and services heavily relies on
large deep learning models and massive data in the cloud. However, cloud-based deep …

Stackelberg game-based task offloading and pricing with computing capacity constraint in mobile edge computing

Z Tong, X Deng, J Mei, L Dai, K Li, K Li - Journal of Systems Architecture, 2023 - Elsevier
The task offloading technology in mobile edge computing can improve the benefits of each
device. Moreover, designing reasonable prices for computing resources is critical to …

Agglomerative federated learning: Empowering larger model training via end-edge-cloud collaboration

Z Wu, S Sun, Y Wang, M Liu, B Gao… - … -IEEE Conference on …, 2024 - ieeexplore.ieee.org
Federated Learning (FL) enables training Artificial Intelligence (AI) models over end devices
without compromising their privacy. As computing tasks are increasingly performed by a …

Optimal control and communication strategies in multi-energy generation grid

MW Khan, G Li, K Wang, M Numan… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Multi-energy generation grids (MEGGs) provide a promising solution for reliable operations
of cooperative various distributed energy resources (DERs), supply environmentally friendly …

Industrial metaverse: A comprehensive review, environmental impact, and challenges

SM Nleya, M Velempini - Applied Sciences, 2024 - mdpi.com
The Industrial Metaverse paradigm can be broadly described as a virtual environment that
integrates various technologies such as augmented reality and mixed reality to enhance …