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) …
A comprehensive review on internet of things task offloading in multi-access edge computing
With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs)
are more inclined to offload computing tasks to higher-performance computing servers …
are more inclined to offload computing tasks to higher-performance computing servers …
Toward carbon-neutral edge computing: Greening edge AI by harnessing spot and future carbon markets
Provisioning dynamic machine learning (ML) inference as a service for artificial intelligence
(AI) applications of edge devices faces many challenges, including the tradeoff among …
(AI) applications of edge devices faces many challenges, including the tradeoff among …
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) …
Learning-based edge-device collaborative dnn inference in iovt networks
Deep neural network (DNN) is a promising technology for Internet of Visual Things (IoVT)
devices to extrct their visual information from unstructured data. However, it is hard to deploy …
devices to extrct their visual information from unstructured data. However, it is hard to deploy …
Cooperative End-Edge-Cloud Computing and Resource Allocation for Digital Twin Enabled 6G Industrial IoT
Y Wang, J Fang, Y Cheng, H She… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
End-edge-cloud (EEC) collaborative computing is regarded as one of the most promising
technologies for the Industrial Internet of Things (IIoT). It offers effective solutions for …
technologies for the Industrial Internet of Things (IIoT). It offers effective solutions for …
Proactive Service Caching in a MEC System by Using Spatio-Temporal Correlation among MEC Servers
H Bae, J Park - Applied Sciences, 2023 - mdpi.com
Optimizingthe cache hit rate in a multi-access edge computing (MEC) system is essential in
increasing the utility of a system. A pivotal challenge within this context lies in predicting the …
increasing the utility of a system. A pivotal challenge within this context lies in predicting the …
A survey on task partitioning and scheduling for vehicular edge computing
J Huang, W Wu, W Huang, Y Xiao… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
Vehicle edge computing (VEC) has become an important research field in recent years. In
VEC, computation offloading moves computationally intensive tasks from resource …
VEC, computation offloading moves computationally intensive tasks from resource …
A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System
Terahertz communication networks and intelligent reflecting surfaces exhibit significant
potential in advancing wireless networks, particularly within the domain of aerial-based multi …
potential in advancing wireless networks, particularly within the domain of aerial-based multi …
Sequential offloading for distributed DNN computation in multiuser MEC systems
This article studies a sequential task offloading problem for a multiuser mobile-edge
computing (MEC) system. While most of the existing works consider static one-shot …
computing (MEC) system. While most of the existing works consider static one-shot …