Personalized federated learning (PFL), as a novel federated learning (FL) paradigm, is
capable of generating personalized models for heterogenous clients. Combined with a meta …

The rapid development of 6G can help to bring autonomous driving closed to the reality.
Drivers and passengers will have more time for work and leisure spending in the vehicles …

Abstract The ubiquitous Internet of Things (IoTs) devices spawn growing mobile services of
applications with computationally-intensive and latency-sensitive features, which increases …

In multi-access edge computing (MEC), most existing task software caching works focus on
statically caching data at the network edge, which may hardly preserve high reusability due …

The fifth-generation of wireless communication (5G) is a promising paradigm toward
massive interconnectivity within Internet-of-Things (IoT) networks. However, because the …

The fifth generation and beyond wireless communication will support vastly heterogeneous
services and user demands such as massive connection, low latency and high transmission …

Coded caching is effective in leveraging the accumulated storage size in wireless networks
by distributing different coded segments of each file in multiple cache nodes. This paper …

Mobile networks experience a tremendous increase in data volume and user density due to
the massive number of coexisting users and devices. An efficient technique to alleviate this …

Edge caching will play a critical role in facilitating the emerging content-rich applications.
However, it faces many new challenges, in particular, the highly dynamic content popularity …

One fundamental problem of content caching in edge computing is how to replace contents
in edge servers with limited capacities to meet the dynamic requirements of users without …