Výsledky vyhledávání - "Koester, Frank"

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Towards solving ontological dissonance using network graphs

Autor: Staebler, Maximilian, Koester, Frank, Schlueter-Langdon, Christoph

Data Spaces are an emerging concept for the trusted implementation of data-based applications and business models, offering a high degree of flexibility and sovereignty to all stakeholders. As Data Spaces are currently emerging in different domains s

Externí odkaz: http://arxiv.org/abs/2308.14326

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SoK: Assessing the State of Applied Federated Machine Learning

Autor: Müller, Tobias, Stäbler, Maximilian, Gascón, Hugo, Köster, Frank, Matthes, Florian

Machine Learning (ML) has shown significant potential in various applications; however, its adoption in privacy-critical domains has been limited due to concerns about data privacy. A promising solution to this issue is Federated Machine Learning (Fe

Externí odkaz: http://arxiv.org/abs/2308.02454

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Tensor networks for quantum machine learning

Autor: Rieser, Hans-Martin, Köster, Frank, Raulf, Arne Peter

Once developed for quantum theory, tensor networks have been established as a successful machine learning paradigm. Now, they have been ported back to the quantum realm in the emerging field of quantum machine learning to assess problems that classic

Externí odkaz: http://arxiv.org/abs/2303.11735

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Extraction and Analysis of Highway On-Ramp Merging Scenarios from Naturalistic Trajectory Data

Autor: Klitzke, Lars, Gimm, Kay, Koch, Carsten, Köster, Frank

Connected and Automated Vehicles (CAVs) are envisioned to transform the future industrial and private transportation sectors. However, due to the system's enormous complexity, functional verification and validation of safety aspects are essential bef

Externí odkaz: http://arxiv.org/abs/2104.05661

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