Continuously generated volumes of health data make healthcare a data-intensive domain.
This data needs to be collected, stored, and shared among different healthcare actors for …

Blockchain, the technology infrastructure behind the famous cryptocurrency bitcoin, can take
away the notion of trust from centralized organizations to a decentralized platform that is …

Even simply through a GoogleTrends search it becomes clear that Machine-Learning
Operations-or MLOps, for short-are climbing in interest from both a scientific and practical …

Cybersecurity is a critical issue that must be prioritized not just by enterprises of all kinds, but
also by national security. To safeguard an organization's cyberenvironments, information …

Privacy visualizations help users understand the privacy implications of using an online
service. Privacy by Design guidelines provide generally accepted privacy standards for …

Federated learning (FL) is an emerging collaborative machine learning method to train
models on distributed datasets with privacy concerns. To properly incentivize data owners to …

Despite the increasing interest and exploration of the use of blockchain technology in public
service organisations (PSOs), academic understanding of its transformative impact on the …

As the world becomes increasingly interconnected through digital technologies, the
protection of individuals' privacy has emerged as a critical concern. This paper conducts a …

Since May 2018, companies have been required to comply with the General Data Protection
Regulation (GDPR). The compliance process can be very expensive, for example …

Suicide causes approximately one death every 40 s. Suicidal ideation is the first stage in the
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …