Fields of Activity/Competence
- Deep Learning
- Federated Learning
- Neural Architecture Search
A collection of publications by Nico Weber in the Fraunhofer-Publica
Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
---|---|---|
2024 | ViNe-Seg: deep-learning-assisted segmentation of visible neurons and subsequent analysis embedded in a graphical user interface Ruffini, Nicolas; Altahini, Saleh; Weißbach, Stephan; Weber, Nico; Milkovits, Jonas; Wierczeiko, Anna; Backhaus, Hendrik; Stroh, Albrecht |
Zeitschriftenaufsatz Journal Article |
2022 | SEC-Learn: Sensor Edge Cloud for Federated Learning Aichroth, Patrick; Antes, Christoph; Gembaczka, Pierre; Graf, Holger; Johnson, David S.; Jung, Matthias; Kämpfe, Thomas; Kleinberger, Thomas; Köllmer, Thomas; Kuhn, Thomas; Kutter, Christoph; Krüger, Jens; Loroch, Dominik M.; Lukashevich, Hanna; Laleni, Nelli; Zhang, Lei; Leugering, Johannes; Martín Fernández, Rodrigo; Mateu, Loreto; Mojumder, Shaown; Prautsch, Benjamin; Pscheidl, Ferdinand; Roscher, Karsten; Schneickert, Sören; Vanselow, Frank; Wallbott, Paul; Walter, Oliver; Weber, Nico |
Konferenzbeitrag Conference Paper |
2022 | Fed-DART and FACT: A solution for Federated Learning in a production environment Weber, Nico; Holzer, Patrick; Jacob, Tania; Ramentol Martinez, Enislay |
Paper |
2021 | HALF: Holistic Auto Machine Learning for FPGAs Ney, Jonas; Loroch, Dominik; Rybalkin, Vladimir; Weber, Nico; Krüger, Jens; Wehn, Norbert |
Vortrag Presentation |