Digital twin-assisted knowledge distillation framework for heterogeneous federated learning

X Wang, N Cheng, L Ma, R Sun, R Chai… - China …, 2023 - ieeexplore.ieee.org
In this paper, to deal with the heterogeneity in federated learning (FL) systems, a knowledge
distillation (KD) driven training framework for FL is proposed, where each user can select its …

Distributed digital twin migration in multi-tier computing systems

Z Chen, W Yi, A Nallanathan… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
At the network edges, the multi-tier computing framework provides mobile users with efficient
cloud-like computing and signal processing capabilities. Deploying digital twins in the multi …

Digital twin enabled remote data sharing for internet of vehicles: System and incentive design

C Tan, X Li, L Gao, TH Luan, Y Qu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the boom in advanced intelligent vehicles, the amount of data associated with the
Internet of Vehicles (IoVs) grows exponentially. Sharing road data among vehicles …

Endogenous security-aware resource management for digital twin and 6G edge intelligence integrated smart park

S Zhang, Z Yao, H Liao, Z Zhou, Y Chen… - China …, 2023 - ieeexplore.ieee.org
The integration of digital twin (DT) and 6G edge intelligence provides accurate forecasting
for distributed resources control in smart park. However, the adverse impact of model …

Digital Twin-assisted Space-Air-Ground Integrated Networks for Vehicular Edge Computing

A Paul, K Singh, MHT Nguyen, C Pan… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
In this paper, we present a framework that integrates digital twin (DT) technology into space-
air-ground integrated networks (SAGINs) to enhance vehicular edge computing (VEC). Our …

Joint Optimization of Personalized Route Planning and Global Traffic Scheduling: A DT-Enabled Integrated Framework

Y Hui, Q Wang, Z Su, N Cheng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Efficient route planning and traffic scheduling are the key enabling technologies to achieve
intelligent transportation systems (ITS). However, the existing schemes that use driving time …

Predictive Computation Offloading and Resource Allocation in DT-Empowered Vehicular Networks

B Lu, B Fan, Y Wu, L Qian, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To provide a better support for various vehicular applications, digital twin (DT), as an
emerging technology, can enable a virtual presentation of physical vehicular networks to …

Quantum-Inspired Differential Evolution for Freshness-aware Caching-aided Offloading in Digital Twin-enabled Internet of Vehicles

B Bandyopadhyay, P Kuila, M Bey… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the development of the sixth-generation network, Digital Twin (DT) is driving the
explosive growth of Internet-of-Vehicles (IoVs). The rapid proliferation of highly mobile IoVs …

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 …

Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing

J Li, S Guo, W Liang, J Wang, Q Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Driven by data and models, the digital twin technique presents a new concept of optimizing
system design, process monitoring, decision-making and more, through performing …