In the healthcare landscape, data science (DS) methods have emerged as indispensable
tools to harness real-world data (RWD) from various data sources such as electronic health …

Pushes for increased power of Law Enforcement (LE) for data retention and centralized
storage result in legal challenges with data protection law and courts-and possible violations …

In the absence of data protection measures, software applications lead to privacy breaches,
posing threats to end-users and software organisations. Privacy Enhancing Technologies …

Background The kidney exchange problem (KEP) addresses the matching of patients in
need for a replacement organ with compatible living donors. Ideally many medical …

Federated learning (FL) is crucial in edge computing for next-generation wireless networks
because it enables collaborative learning among devices while protecting data privacy …

The task of cardinality counting, pivotal for data analysis, endeavors to quantify unique
elements within datasets and has significant applications across various sectors like …

With the advent of the era of big data, privacy computing analyzes and calculates data on
the premise of protecting data privacy, to achieve data 'available and invisible'. As an …

Private computation on common records refers to analyze data from two databases
containing shared records without revealing personal information. As a basic requirement …

Simple Summary Large datasets concerning childhood cancers are rare. Therefore, it is
important to fully exploit all available data, which are distributed over several resources …

Die personenbezogene Verknüpfung von unterschiedlichen, gesundheitsbezogenen Daten
mit dem Ziel einen Forschungsdatensatz zu erstellen, wird als Record Linkage bezeichnet …