Digital twin: A comprehensive survey of security threats
Industry 4.0 is having an increasingly positive impact on the value chain by modernizing and
optimizing the production and distribution processes. In this streamline, the digital twin (DT) …
optimizing the production and distribution processes. In this streamline, the digital twin (DT) …
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
SP Ramu, P Boopalan, QV Pham… - Sustainable Cities and …, 2022 - Elsevier
Abstract Recent advances in Artificial Intelligence (AI) and the Internet of Things (IoT) have
facilitated continuous improvement in smart city based applications such as smart …
facilitated continuous improvement in smart city based applications such as smart …
Personalized federated learning framework for network traffic anomaly detection
With the widespread use of real-time sensors in various fields, such as IoT systems, it is
important to improve the performance of most network traffic anomaly detection methods …
important to improve the performance of most network traffic anomaly detection methods …
Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
Adaptive edge association for wireless digital twin networks in 6G
Sixth-generation (6G) is envisioned to be characterized by ubiquitous connectivity,
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …
Multi-agent deep reinforcement learning for computation offloading and interference coordination in small cell networks
X Huang, S Leng, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Integrating mobile edge computing (MEC) with small cell networks has been conceived as a
promising solution to provide pervasive computing services. However, the interactions …
promising solution to provide pervasive computing services. However, the interactions …
Asynchronous federated learning on heterogeneous devices: A survey
Federated learning (FL) is experiencing a fast booming with the wave of distributed machine
learning. In the FL paradigm, the global model is aggregated on the centralized aggregation …
learning. In the FL paradigm, the global model is aggregated on the centralized aggregation …
BIM information integration based VR modeling in digital twins in industry 5.0
W Wang, H Guo, X Li, S Tang, Y Li, L Xie… - Journal of Industrial …, 2022 - Elsevier
This study aims to improve the efficiency of construction efficiency to ensure the
infrastructure needs of urban development. Targeting at realizing the intelligent …
infrastructure needs of urban development. Targeting at realizing the intelligent …
Dynamic digital twin and distributed incentives for resource allocation in aerial-assisted internet of vehicles
W Sun, P Wang, N Xu, G Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Vehicles (IoV), when empowered by aerial communications, provides vehicles
with seamless connections and proximate computing services. The unpredictable network …
with seamless connections and proximate computing services. The unpredictable network …