Federated learning is an emerging collaborative learning paradigm of Machine learning involving distributed and heterogeneous clients. Enormous collections of continuously arriving heterogeneous data residing on distributed ...

Definition of the problem: In spring 2020, as much of the world was emerging from widespread “lockdowns” as an emergency measure to combat the spread of SARS-CoV‑2, there was sustained discussion about how to lift measures ...

In recent years, knowledge graphs (KGs) have gained more and more importance. As a consequence of that, the number of publicly accessible KGs is increasing. Due to their adoption in many areas, KGs are used in numerous ...