1 code implementation • 25 May 2023 • Christian A. Schroth, Christian Eckrich, Ibrahim Kakouche, Stefan Fabian, Oskar von Stryk, Abdelhak M. Zoubir, Michael Muma
The large number and scale of natural and man-made disasters have led to an urgent demand for technologies that enhance the safety and efficiency of search and rescue teams.
no code implementations • 27 Apr 2023 • Christian A. Schroth, Stefan Vlaski, Abdelhak M. Zoubir
Classically, aggregation in distributed learning is based on averaging, which is statistically efficient, but susceptible to attacks by even a small number of malicious agents.
1 code implementation • 30 Jun 2020 • Christian A. Schroth, Michael Muma
This article proposes a new class of Real Elliptically Skewed (RESK) distributions and associated clustering algorithms that allow for integrating robustness and skewness into a single unified cluster analysis framework.
3 code implementations • 4 May 2020 • Christian A. Schroth, Michael Muma
Robustly determining the optimal number of clusters in a data set is an essential factor in a wide range of applications.