Publications
Here you will find an overview of our scientific papers, theses, specialist articles and publications.

Thesis
“Retraining of Neural Networks on Resource-Limited Devices” – Florian D. Meißl, 2024
“Optimization of an AI-based energy management system for embedded hardware: Porting symbolic-regressive models, performance enhancement, and retraining” – Alexander Prielinger, 2025
“Collaborative training of machine learning models in heterogeneous microcontroller networks” – Matthias Köhler, 2025
“Reproducible data distribution changes for evaluating the adaptability of neural networks” – David Reinberger, 2025
“Gradient descent for training neural networks on microcontrollers” – David Josef Muttenthaler, 2025
Talks
F. Eibensteiner, Retraining on Embedded Systems, Christian Doppler Laboratory for Embedded Machine Learning at the Institute of Computer Technology, TU Vienna, 29.11.2024
F. Eibensteiner, Workshop on Embedded AI, FH Hagenberg, 12.03.2025
N. Teringl, F. Eibensteiner, AI in quality control – flexible, intuitive, 100% tested, online lecture at the Austrian Chamber of Commerce, Linz, 16.06.2025
F. Eibensteiner, Workshop on Embedded AI and Retraining, FH Hagenberg, 24.06.2025
											
				
			
					
