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black-box black-box parallelization causal discovery causality communication-efficient corresponding projections decentralized deep learning DiSIEM distributed dynamic averaging explainable federated federated causal discovery federated learning flatness generalization interpretable learning theory loss surface machine learning neural networks parallelization relative flatness robustness theory of deep learning transfer learning unsupervised visualization XAI

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2023

Michael Kamp Linara Adilova, Gennady Andrienko

Re-interpreting Rules Interpretability Journal Article

In: International Journal of Data Science and Analytics, 2023.

BibTeX | Tags: interpretable, machine learning, rule learning, XAI

Re-interpreting Rules Interpretability