Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …

Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …

In the field of Artificial Intelligence Machine learning provides the automatic systems which
learn and improve itself from experience without being explicitly programmed. In this …

Personal data are often collected and processed in a decentralized fashion, within different
contexts. For instance, with the emergence of distributed applications, several providers are …

Targeted advertising has transformed the marketing landscape for a wide variety of
businesses, by creating new opportunities for advertisers to reach prospective customers by …

This paper aims to develop a new efficient framework named Secure Decentralized Training
Framework (SDTF) for Privacy Preserving Deep Learning models. The main feature of the …

Over the last few decades, the proliferation of the Internet of Things (IoT) has produced an
overwhelming flow of data and services, which has shifted the access control paradigm from …

In the age of information overload, recommender systems have emerged as essential tools,
assisting users in decision-making processes by offering personalized suggestions …