Learning on non - Euclidean data
In the framework of the OEAD program "Scientific and Technical Cooperation" (STC) the project "Collective evolution strategies for distributed learning on non-Euclidean data" to establish joint research activities between the research centre Business Informatics of the Vorarlberg University of Applied Sciences and the Department of Mathematics of the University of Montenegro.
Over the two-year duration, the project teams will work out common research questions in several bilateral workshops. The focus will be on the topics
Self-organizing complex physical systems
To combine these topics, in particular problems involving non-Euclidean geometry shall be considered. Applications of such problems can be found for example
in simultaneous communication between actors
- in shape optimization for the purpose of image recognition/computer graphics
- in the design of neural networks for dynamic problems
In addition to developing new methods, the collaboration will be used to prepare other joint research projects.
|project name||Collective evolution strategies for distributed learning on non-Euclidean data|
|Program||Austrian Exchange Service (OEAD)|
|Project Index Number||ME 06/2020|
|Project Duration||January 2021 - December 2022|
|Project Budget||7,200.00 EUR|