Innovative Factory Systems

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1. Vinit Hegiste; Tatjana Legler; Martin Ruskowski

   Collaborative Learning in Shared Production Environment Using Federated Image Classification

   In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 98-106, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

2. Tatjana Legler; Vinit Hegiste; Martin Ruskowski

   Multifaceted Applications of Federated Learning: Beyond Neural Networks

   In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 271-278, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

3. Jonathan Nußbaum; Tatjana Legler; Martin Ruskowski

   CPPM Copilot: Proposing an AI-Based Assistant for Manual Assembly Tasks in a Flexible Production

   In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 80-88, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

4. Patrick Kremser; Tatjana Legler; Martin Ruskowski

   Exploring Historical Data Utilization in Skill-Based Production Systems

   In: Procedia Computer Science, Vol. 253, Pages 2821-2830, ELSEVIER, 2025.

5. Andreas Wagner; Tatjana Legler; Martin Ruskowski

   Using In-Process Workpieces and Asset Administration Shells for Chaining Machining Skills

   In: Procedia Computer Science, Vol. 253, Pages 2841-2848, ELSEVIER, 2025.

6. Benjamin Blumhofer; Philipp Richard; Tatjana Legler; Martin Ruskowski

   Enhancing flexibility in intralogistics 4.0 by using Services, Capabilities, and Skills

   In: Procedia Computer Science, Vol. 253, Pages 2377-2388, ELSEVIER, 2025.

7. Jibinraj Antony; Dorotea Jalu¨ić; Simon Bergweiler; Ákos Hajnal; Veronika ´labravec; Márk Emődi; Dejan Strbad; Tatjana Legler; Attila Csaba Marosi

   Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications

   In: Journal of Grid Computing, Vol. 22 (71), Pages 1-19, Springer, 11/2024.

8. Simon Lamoth; Julian Götz; Tatjana Legler; Martin Ruskowski

   Wireless Safety in Industrial 5G Networks

   In: Francisco J. G. Silva; António B. Pereira; Raul D. S. G. Campilho (Hrsg.). Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), Cham, Pages 659-667, ISBN 978-3-031-38241-3, Springer Nature Switzerland, 2024.

9. Tatjana Legler; Vinit Hegiste; Martin Ruskowski

   Mapping of Newcomer Clients in Federated Learning Based on Activation Strength

   In: Francisco J. G. Silva; António B. Pereira; Raul D. S. G. Campilho (Hrsg.). Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), Cham, Pages 1139-1148, ISBN 978-3-031-38241-3, Springer Nature Switzerland, 2024.

10. Ahmed Anwar; Brian Moser; Dayananda Herurkar; Federico Raue; Vinit Heiste; Tatjana Legler; Andreas Dengel

    FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data

    In: 2nd Federated Learning Technologies and Applications Conference 2024. International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-19, Valencia, Spain, IEEEXplore, 2024.

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