Federated learning meets blockchain in edge computing: Opportunities and challenges

DC Nguyen, M Ding, QV Pham… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …

Evolutionary V2X technologies toward the Internet of vehicles: Challenges and opportunities

H Zhou, W Xu, J Chen, W Wang - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
To enable large-scale and ubiquitous automotive network access, traditional vehicle-to-
everything (V2X) technologies are evolving to the Internet of Vehicles (IoV) for increasing …

Blockchain for the internet of vehicles towards intelligent transportation systems: A survey

MB Mollah, J Zhao, D Niyato, YL Guan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) is an emerging concept that is believed to help realize the vision of
intelligent transportation systems (ITSs). IoV has become an important research area of …

Blockchain-empowered space-air-ground integrated networks: Opportunities, challenges, and solutions

Y Wang, Z Su, J Ni, N Zhang… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The terrestrial networks face the challenges of severe cost inefficiency and low feasibility to
provide seamless services anytime and anywhere, especially in the extreme or hotspot …

A hierarchical blockchain-enabled federated learning algorithm for knowledge sharing in internet of vehicles

H Chai, S Leng, Y Chen, K Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoVs) is highly characterized by collaborative environment data sensing,
computing and processing. Emerging Big Data and Artificial Intelligence (AI) technologies …

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 …

Solar Energy-Powered Battery Electric Vehicle charging stations: Current development and future prospect review

KY Yap, HH Chin, JJ Klemeš - Renewable and Sustainable Energy …, 2022 - Elsevier
Solar energy offers the potential to support the battery electric vehicles (BEV) charging
station, which promotes sustainability and low carbon emission. In view of the emerging …

Secure and efficient federated learning for smart grid with edge-cloud collaboration

Z Su, Y Wang, TH Luan, N Zhang, F Li… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the prevalence of smart appliances, smart meters, and Internet of Things (IoT) devices
in smart grids, artificial intelligence (AI) built on the rich IoT big data enables various energy …

Learning in the air: Secure federated learning for UAV-assisted crowdsensing

Y Wang, Z Su, N Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have opened a
revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on …

A comprehensive survey on the applications of blockchain for securing vehicular networks

T Alladi, V Chamola, N Sahu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Vehicular networks promise features such as traffic management, route scheduling, data
exchange, entertainment, and much more. With any large-scale technological integration …