Edge continual learning for dynamic digital twins over wireless networks

O Hashash, C Chaccour, W Saad - arXiv preprint arXiv:2204.04795, 2022 - arxiv.org
Digital twins (DTs) constitute a critical link between the real-world and the metaverse. To
guarantee a robust connection between these two worlds, DTs should maintain accurate …

Digital twin-enabled service provisioning in edge computing via continual learning

J Li, S Guo, W Liang, J Wang, Q Chen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Propelled by recent advances in Mobile Edge Computing (MEC) and the Internet of Things
(IoT), the digital twin technique has been envisioned as a de-facto driving force to bridge the …

Bi-directional digital twin and edge computing in the metaverse

J Yu, A Alhilal, P Hui, DHK Tsang - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Metaverse has emerged to extend our lifestyle beyond physical limitations. As essential
components in the Metaverse, digital twins (DTs) are the real-time digital replicas of physical …

Digital Twin-enabled Federated Learning in Mobile Networks: From the Perspective of Communication-assisted Sensing

J Mu, W Ouyang, T Hong, W Yuan… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
With the continuous evolution of emerging technologies such as mobile network, machine
learning (ML), 5G, etc., digital twins (DT) bursts out great potential by its capacity of data …

Digital twins for next-generation mobile networks: Applications and solutions

N Apostolakis, LE Chatzieleftheriou… - IEEE …, 2023 - ieeexplore.ieee.org
Digital Twins (DTs) create fully-synchronized virtual representations of real-world systems,
which can serve as interactive counterparts for artificial intelligence (AI) and machine …

The paradigm of digital twin communications

TH Luan, R Liu, L Gao, R Li, H Zhou - arXiv preprint arXiv:2105.07182, 2021 - arxiv.org
With the fast evolving of cloud computing and artificial intelligence (AI), the concept of digital
twin (DT) has recently been proposed and finds broad applications in industrial Internet, IoT …

FedViT: Federated continual learning of vision transformer at edge

X Zuo, Y Luopan, R Han, Q Zhang, CH Liu… - Future Generation …, 2024 - Elsevier
Abstract Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things
and are becoming an integral part of our daily life. When tackling the evolving learning tasks …

Online distillation with continual learning for cyclic domain shifts

J Houyon, A Cioppa, Y Ghunaim… - Proceedings of the …, 2023 - openaccess.thecvf.com
In recent years, online distillation has emerged as a powerful technique for adapting real-
time deep neural networks on the fly using a slow, but accurate teacher model. However, a …

Fedknow: Federated continual learning with signature task knowledge integration at edge

Y Luopan, R Han, Q Zhang, CH Liu… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are
becoming an integral of our daily life. When tackling the evolving learning tasks in real …

Adaptive edge association for wireless digital twin networks in 6G

Y Lu, S Maharjan, Y Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Sixth-generation (6G) is envisioned to be characterized by ubiquitous connectivity,
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …