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08/03/2023
SoK: Assessing the State of Applied Federated Machine Learning
Machine Learning (ML) has shown significant potential in various applica...
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04/26/2023
Unlocking the Potential of Collaborative AI – On the Socio-technical Challenges of Federated Machine Learning
The disruptive potential of AI systems roots in the emergence of big dat...
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01/15/2023
Training one model to detect heart and lung sound events from single point auscultations
Objective: This work proposes a semi-supervised training approach for de...
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01/06/2023
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training
Applying new computing paradigms like quantum computing to the field of ...
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09/22/2021
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
Reinforcement learning has driven impressive advances in machine learnin...
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09/22/2021
Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion
The expansion of Fiber-To-The-Home (FTTH) networks creates high costs du...
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01/26/2021
Developing emotion recognition for video conference software to support people with autism
We develop an emotion recognition software for the use with a video conf...
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05/29/2018