Recent advances in hardware and information technology have accelerated the proliferation
of smart and interconnected devices facilitating the rapid development of the Internet of …

Artificial intelligence (AI) has been successfully applied in industry for decades, ranging from
the emergence of expert systems in the 1960s to the wide popularity of deep learning today …

Empowered by promising artificial intelligence, the traditional Internet of Things is evolving
into the Artificial Intelligence of Things (AIoT), which is an important enabling technology for …

Data privacy on the Internet of Medical Things (IoMT) remains a critical concern when
handling biomedical data. While extant studies focus on cryptography and differential …

Patients often visit several hospitals to obtain medication, generating a significant volume of
data. Moreover, hospitals use different data analytic techniques to improve healthcare …

Split Learning (SL) is a distributed machine learning setting that allows several nodes to
train neural networks based on model parallelism. Since SL avoids sharing raw data among …

Federated Learning has attracted widespread attention in recent years because it allows
massive edge nodes to collaboratively train machine learning models without sharing their …

Recent developments in hardware and information technology have enabled the
emergence of billions of connected, intelligent devices around the world exchanging …

Recently, as a consequence of the coronavirus disease (COVID-19) pandemic, dependence
on contact tracing (CT) models has significantly increased to prevent the spread of this …

With the continuous improvement of computation and communication capabilities, the
Internet of Things (IoT) plays a vital role in many intelligent applications. Therefore, IoT …