Massive amounts of data will continue to be generated when everything becomes intelligent
and connected, and where data-driven decision making becomes a necessity. Data sources …

This report gives an overview of the Edge Computing paradigm and its applications. Indeed,
with the advent of the Internet of Things (IoT) era, many electronic devices and sensors …

The intersection of AI, the Internet of Things (IoT) and edge computing has kindled the edge
AI revolution that promises to redefine how we perceive and interact with the physical world …

As the Internet of Things (IoT) landscape grows, with estimates exceeding 75 billion devices
by 2025, effective data management and processing become primary challenges …

Edge computing brings computing and storage resources closer to (mobile) end users and
data sources, thus bypassing expensive and slow links to distant cloud computing …

Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

The 4th Edge Computing Workshop (doors 2024) held in Zhytomyr, Ukraine, aimed to bring
together researchers to share advances and applications in edge computing, a critical …

It is undeniable that the recent revival of artificial intelligence (AI) has significantly changed
the landscape of science in many application domains, ranging from health to defense and …

Fueled by ubiquitous computing ambitions, the edge is at the center of confluence of many
emergent technological trends such as hardware-rooted trust and code integrity, 5G, data …

Considering the recent advances of ICT technologies and the expansion of networked
paradigms such as the Internet of Things (IoT), the design and rapid prototyping of scalable …