Federated learning (FL) is a distributed machine learning approach that can achieve the
purpose of collaborative learning from a large amount of data that belong to different parties …

Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …

Edge computing is a fast growing field of research that covers a spectrum of technologies
bringing the cloud computing services closer to the end user. Growing interest in this area …

The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …

Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

Edge computing is based on the philosophy that the data should be processed within the
locality of its source. Edge computing is entering a new phase where it gains wide …

The Internet of Vehicles (IoV) is an emerging paradigm, driven by recent advancements in
vehicular communications and networking. Meanwhile, the capability and intelligence of …

The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead
to its adoption in critical infrastructure. However, the multitude of benefits that are derived …

As an application of “smart transport” for Internet of Things, Internet of Vehicle (IoV) has
emerged as a new research field based on vehicular ad hoc networks (VANETs). With the …

Heterogeneous multiprocessor system-on-chips (MPSoCs) are suitable platforms for real-
time embedded applications that require powerful parallel processing capability as well as …