AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
A digital twin-assisted intelligent partial offloading approach for vehicular edge computing
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Crossing roads of federated learning and smart grids: Overview, challenges, and perspectives
Consumer's privacy is a main concern in Smart Grids (SGs) due to the sensitivity of energy
data, particularly when used to train machine learning models for different services. These …
data, particularly when used to train machine learning models for different services. These …
Digital twins in industry 5.0
Z Lv - Research, 2023 - spj.science.org
This work aims to explore the impact of Digital Twins Technology on industrial
manufacturing in the context of Industry 5.0. A computer is used to search the Web of …
manufacturing in the context of Industry 5.0. A computer is used to search the Web of …
Digital twins and blockchain technology in the industrial Internet of Things (IIoT) using an extended decision support system model: Industry 4.0 barriers perspective
Y Li, A Mardani - Technological Forecasting and Social Change, 2023 - Elsevier
Blockchain technology (BT) can be considered a great help to the concept of digital twins
(DT) as it can make sure of transparency, the immutability of data, decentralization of data …
(DT) as it can make sure of transparency, the immutability of data, decentralization of data …
On the physical layer of digital twin: An integrated sensing and communications perspective
The digital twin (DT), which effectively represents the actual real-world physical system or
process, has reshaped the classic manufacturing, construction, as well as healthcare …
process, has reshaped the classic manufacturing, construction, as well as healthcare …
Smart Implementation of Industrial Internet of Things using Embedded Mechatronic System
In Industry 4.0, integrating Industrial Internet of Things (IIoT) and smart manufacturing is
crucial for high-quality, efficient, and cost-effective production. However, the performance of …
crucial for high-quality, efficient, and cost-effective production. However, the performance of …
Cooperative multi-agent deep reinforcement learning for computation offloading in digital twin satellite edge networks
With the development of commercial off-the-shelf hardware, low Earth orbit (LEO) satellites
are promising to provide flexible edge computing services. In this paper, we investigate a …
are promising to provide flexible edge computing services. In this paper, we investigate a …
Parallel training: An ACP-based training framework for iterative learning in uncertain driving spaces
The traffic environment and driving behaviors are of great complexity and uncertainty in our
physical world. Therefore, training in the digital world with low cost and diverse complexities …
physical world. Therefore, training in the digital world with low cost and diverse complexities …
QuAsyncFL: Asynchronous federated learning with quantization for cloud-edge-terminal collaboration enabled AIoT
Federated Learning is a promising technique that facilitates cloud–edge–terminal
collaboration in Artificial Intelligence of Things (AIoT). It will enable model training without …
collaboration in Artificial Intelligence of Things (AIoT). It will enable model training without …