Federated Learning -- Methods, Applications and beyond

no code implementations • 22 Dec 2022 • Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif

In recent years the applications of machine learning models have increased rapidly, due to the large amount of available data and technological progress. While some domains like web analysis can benefit from this with only minor restrictions, other fields like in medicine with patient data are strongerregulated.

Federated Learning Transfer Learning

Reactive Soft Prototype Computing for Concept Drift Streams

1 code implementation • 10 Jul 2020 • Christoph Raab, Moritz Heusinger, Frank-Michael Schleif

The amount of real-time communication between agents in an information system has increased rapidly since the beginning of the decade.