1 citations · 1 across the 5 of their papers we have counts for
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Federated Deep Clustering Networks for High-Dimensional and Heterogeneous Data
Morris Stallmann, Charalampos S. Kouzinopoulos, Marcin Pietrasik +1
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 co…
Federated Learning for Distributed CNC Tool Wear Prediction
Afsana Khan, Morris Stallmann, Marcin Pietrasik +3
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 h…
Empirical Capacity Model for Self-Attention Neural Networks
Aki Härmä, Marcin Pietrasik, Anna Wilbik
Large pretrained self-attention neural networks, or transformers, have been very successful in various tasks recently. The performance of a model on a given task depends on its abi…