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

Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …

Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …

Computation off-loading in mobile edge computing (MEC) systems constitutes an efficient
paradigm of supporting resource-intensive applications on mobile devices. However, the …

The advanced Internet of Things (IoT) enables more and more interactions between people
and machines in the emerging applications, which rely on real-time communication and …

By performing data processing at the network edge, mobile edge computing can effectively
overcome the deficiencies of network congestion and long latency in cloud computing …

Federated learning (FL) has been considered as a promising paradigm for enabling
distributed training/learning in many machine-learning services without revealing users' …

Mobile-edge computing (MEC) and wireless power transfer are two promising techniques to
enhance the computation capability and to prolong the operational time of low-power …

Opportunistic computation offloading is an effective method to improve the computation
performance of mobile-edge computing (MEC) networks under dynamic edge environment …

Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …