This paper presents a review of the Internet-of-Things (IoT) through four conceptualizations:
IoT as liquification and density of information of resources; IoT as digital materiality; IoT as …

Federated learning (FL) allows a server to learn a machine learning (ML) model across
multiple decentralized clients that privately store their own training data. In contrast with …

Smart Home Personal Assistants (SPA) have a complex ecosystem that enables them to
carry out various tasks on behalf of the user with just voice commands. SPA capabilities are …

Notifying users about a system's data practices is supposed to enable users to make
informed privacy decisions. Yet, current notice and choice mechanisms, such as privacy …

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 …

By tracking, aggregating, and analyzing student profiles along with students' digital and
analog behaviors captured in information systems, universities are beginning to open the …

Inconsistency between the way in which the law is structured, and the way in which
technologies actually operate is always an interesting and useful topic to explore. When a …

We provide an overview of the recent trends toward digitalization and large-scale data
analytics in healthcare. It is expected that these trends are instrumental in the dramatic …

Federated learning has received a great deal of research attention recently, with privacy
protection becoming a key factor in the development of artificial intelligence. Federated …

Ubiquitous deployment of low-cost smart devices and widespread use of high-speed
wireless networks have led to the rapid development of the Internet of Things (IoT). IoT …