Federated learning (FL) has emerged as a key technique for distributed machine learning
(ML). Most literature on FL has focused on systems with (i) ML model training for a single …

In order to meet the rapid growth of educational data, to automate the processing of
educational data business, improve operational efficiency and scientific decision-making, a …

Convoy driving has great potential in the development of autonomous driving industry,
which can bring great improvement to the utilization rate of roads and the travel experience …

Low-latency and accuracy-guaranteed video analytics is essential to many delay-sensitive
camera-based applications. Analyzing video frames on edge nodes in proximity can …

A novel methodology based on the sectorization of multiple-port cavities with azimuthal
symmetry into sector unit cells is presented to design 5G multiple-input multiple-output …

As 360-degree videos are with high data volume, it is a great challenge to deliver the
content and provide a high quality of experience (QoE) for users. In this paper, we …

With the explosive growth of the Internet of Things, the gap between the rapidly growing
demands of data rates and the existing bandwidth-limited network infrastructures has …

A low-profile on-ground chip antenna is presented to be installed in size-limited devices for
868 MHz Internet of Things applications. The antenna presents a size of 0.064, has been …

When the communication infrastructures are damaged in disasters, unmanned aerial
vehicles (UAVs) can be utilized as aerial base stations to achieve rapid service recovery …

Smart Cities (SCs) have recently opened new lifestyles as they introduce effective
approaches for improving urban management. These cities integrate Industry 4.0 …