Blockchain intelligence for internet of vehicles: Challenges and solutions

X Wang, H Zhu, Z Ning, L Guo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

Blockchain technology for intelligent transportation systems: A systematic literature review

R Jabbar, E Dhib, AB Said, M Krichen, N Fetais… - IEEE …, 2022 - ieeexplore.ieee.org
The use of Blockchain technology has recently become widespread. It has emerged as an
essential tool in various academic and industrial fields, such as healthcare, transportation …

Decentralized federated learning: A survey and perspective

L Yuan, Z Wang, L Sun, SY Philip… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Federated learning (FL) has been gaining attention for its ability to share knowledge while
maintaining user data, protecting privacy, increasing learning efficiency, and reducing …

Internet of intelligence: A survey on the enabling technologies, applications, and challenges

Q Tang, FR Yu, R Xie, A Boukerche… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The Internet of Intelligence is conceived as an emerging networking paradigm, which will
make intelligence as easy to obtain as information. This paper provides an overview of the …

D-BLAC: A dual blockchain-based decentralized architecture for authentication and communication in VANET

R Tandon, A Verma, PK Gupta - Expert Systems with Applications, 2024 - Elsevier
With all the advancements in the last decade in Intelligent Transportation systems (ITS),
there has been an exponential increase in the number of applications provided to the …

Blockchain-based personalized federated learning for internet of medical things

Z Lian, W Wang, Z Han, C Su - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rapid growth of artificial intelligence (AI), blockchain technology, and edge computing
services have enabled the Internet of Medical Things (IoMT) to provide various healthcare …

Towards cyber security for low-carbon transportation: Overview, challenges and future directions

Y Cao, S Li, C Lv, D Wang, H Sun, J Jiang… - … and Sustainable Energy …, 2023 - Elsevier
In recent years, low-carbon transportation has become an indispensable part as sustainable
development strategies of various countries, and plays a very important responsibility in …

MVSTT: A multiview spatial-temporal transformer network for traffic-flow forecasting

B Pu, J Liu, Y Kang, J Chen… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Accurate traffic-flow prediction remains a critical challenge due to complicated spatial
dependencies, temporal factors, and unpredictable events. Most existing approaches focus …

Fedcs: Efficient communication scheduling in decentralized federated learning

R Zong, Y Qin, F Wu, Z Tang, K Li - Information Fusion, 2024 - Elsevier
Decentralized federated learning is a training approach that prioritizes user data privacy
protection, while also offering improved scalability and robustness. However, as the number …

DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks

C Moya, G Lin - Neural Computing and Applications, 2023 - Springer
Deep learning-based surrogate modeling is becoming a promising approach for learning
and simulating dynamical systems. However, deep-learning methods find it very challenging …