Federated learning (FL) is a promising distributed learning framework where distributed
clients collaboratively train a machine learning model coordinated by a server. To tackle the …

Abstract Software-Defined Networks (SDNs) are increasingly gaining prominence in the
networking domain, enabling programmable control and management of network …

Abstract Internet of Everything (IoE) is a newly emerging trend, especially in homes.
Marketing forces toward smart homes are also accelerating the spread of IoE devices in …

Although there are significant advantages to the popular use of connected devices on the
Internet of Everything, there remain distinct concerns surrounding privacy. Federated …

This research takes place in the context of the optimized monitoring and detec-tion of
Internet of Things (IoT) resource-constraints attacks. Meanwhile, the In-ternet of Everything …

Recently, our lifestyles have evolved to be smarter, with various devices becoming available
for daily activities, such as smartphones, smart watches, smart lighting, and smart cameras …

The advent of the Internet of Things (IoT) has marked the onset of a transformative era
characterized by the proliferation of interconnected devices, resulting in the generation of …

The field of text mining has increasingly relied on Non-negative matrix factorization (NMF)
for its ability to perform high-dimensional data reduction and visualization. This paper aims …

Aujourd'hui, le monde industriel connaît des avancées des technologies de l'information et
de la communication sous l'ombrelle de l'industrie 4.0 et 5.0. Les organisations sont à la …