Artificial intelligence generated content (AIGC) relies on advanced AI algorithms supported
by extensive datasets and substantial computing power to generate precise and pertinent …

The proliferation of data silos poses a significant impediment to the advancement of
machine learning applications. The traditional approach of centralized data learning is …

Unmanned Aerial Vehicle (UAV)-assisted Low Earth Orbit (LEO) satellite edge computing
(ULSE) networks can address the challenge communications issues in areas with harsh …

The prosperous development of the Internet of Things (IoT) and wireless communication
technologies has led to explosive growth in the number of IoT sensor devices. However …

With the arrival of the 6G era, there is a rapid increase in computational demands, and multi-
access edge computing (MEC) has emerged as an effective mechanism to satisfy these …

The development of the Internet of Things (IoT) has made the traditional Consumer
Electronics (CE) evolve into a next-generation CE with many intelligent application which …

Unmanned Aerial Vehicles (UAVs) are regarded as a promising technology to provide
additional computing capabilities and wide coverage for Internet of Things (IoT) devices …

Due to the limitations of computing resources and battery capacity, the computation tasks of
ground devices can be offloaded to edge servers for processing. Moreover, with the …

This paper aims to design a Privacy-aware Client Sampling framework in Federated
learning, named FedPCS, to tackle the heterogeneous client sampling issues and improve …