Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment
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Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment
Citation: T. Legler, V. Hegiste, A. Anwar, M. Ruskowski. “Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment.” In: Procedia Computer Science, Vol. 253, 6th International Conference on Industry 4.0 and Smart Manufacturing. Elsevier, 2025, pp. 2831–2840.
MSc. Tatjana Legler
Researcher
Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on “Optimization of automated visual inspection of common rails using neural networks”. She has been working as a research assistent at the Chair of Machine Tools and Control Systems since November 2017.
Prof. Dr.-Ing. Martin Ruskowski
Head of Chair Department of Machine Tools and Control Systems (WSKL)
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