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Author

Marcin Pietrasik

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#artificial intelligence Preprint Aug 2026

Federated Learning for Distributed CNC Tool Wear Prediction

Tool wear prediction is an important task in CNC machining, where accurate monitoring of tool condition supports product quality and process reliability. Machine learning methods have shown potential for this task, but their use in industrial environments is limited by the distributed nature of machining data and by re...

Afsana Khan, Morris Stallmann, Marcin Pietrasik et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Federated Deep Clustering Networks for High-Dimensional and Heterogeneous Data

Clustering high-dimensional data is a fundamental task in unsupervised machine learning with applications to a variety of domains. In the centralized data scenario, this task is commonly solved using deep clustering methods that utilize deep neural network architectures to learn clustering-friendly latent space represe...

Morris Stallmann, Charalampos S. Kouzinopoulos, Marcin Pietrasik et al. · 0 citations

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