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 …
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …
Blockchain-enabled federated learning: A survey
Federated learning (FL) has experienced a boom in recent years, which is jointly promoted
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …
Blockchain technology for intelligent transportation systems: A systematic literature review
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 …
essential tool in various academic and industrial fields, such as healthcare, transportation …
Communication-efficient federated learning and permissioned blockchain for digital twin edge networks
Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Emerging technologies, such as mobile-edge computing (MEC) and next-generation
communications are crucial for enabling rapid development and deployment of the Internet …
communications are crucial for enabling rapid development and deployment of the Internet …
Secure and provenance enhanced internet of health things framework: A blockchain managed federated learning approach
Recent advancements in the Internet of Health Things (IoHT) have ushered in the wide
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …
Blockchain intelligence for internet of vehicles: Challenges and solutions
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …
Vehicles (IoV) has become the foundation of smart transportation. The development of …
Federated learning in smart cities: Privacy and security survey
Over the last decade, smart cities (SC) have been developed worldwide. Implementing big
data and the internet of things improves the monitoring and integration of different …
data and the internet of things improves the monitoring and integration of different …
Blockchain-enabled secure data sharing scheme in mobile-edge computing: An asynchronous advantage actor–critic learning approach
Mobile-edge computing (MEC) plays a significant role in enabling diverse service
applications by implementing efficient data sharing. However, the unique characteristics of …
applications by implementing efficient data sharing. However, the unique characteristics of …
Privacy-preserving federated learning for UAV-enabled networks: Learning-based joint scheduling and resource management
Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for
supporting data collection, machine learning (ML) model training, and wireless …
supporting data collection, machine learning (ML) model training, and wireless …
A comprehensive survey on the applications of blockchain for securing vehicular networks
Vehicular networks promise features such as traffic management, route scheduling, data
exchange, entertainment, and much more. With any large-scale technological integration …
exchange, entertainment, and much more. With any large-scale technological integration …