Recent developments in machine learning (ML) allow for efficient data stream processing
and also help in meeting various privacy requirements. Traditionally, predefined privacy …

The growing number of Internet of Things (IoT) devices generates massive amounts of
diverse data, including personal or confidential information (ie, sensory, images, etc.) that is …

Edge computing is an emerging computational paradigm where edge nodes provide
services to users performing computation-in-place. It allows faster computation, better …

The design, development, deployment, and operation of a distributed Video Analytics
Pipeline (VAP) at the edge of the network is highly complex. In the domain of adaptive …

Federated learning has emerged as a promising approach for collaborative machine
learning while preserving data privacy in distributed settings. Despite recent advancements …

Federated learning has emerged as a promising approach for collaborative machine
learning while preserving data privacy in distributed settings. Despite recent advancements …

Organizations use privacy policies to communicate their data collection practices to their
clients. A privacy policy is a set of statements that specifies how an organization gathers …

Edge intelligence is a post-cloud computing paradigm, and a consequence of the past
decade of developments in Artificial Intelligence (AI), Internet of Things (IoT), and human …

Data collection is inevitable. To receive services, customers must provide personal
information to organizations. When individuals disclose information, they are making …

Urban sensing is the foundation for cities to become smart. It comprises multiple domains,
such as public surveillance, smart buildings, smart health, crowd sourcing/sensing or …