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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

David Kaltenpoth Osman Mian, Michael Kamp

Nothing but Regrets - Privacy-Preserving Federated Causal Discovery Proceedings Article

In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

BibTeX | Tags: causal discovery, causality, explainable, federated, federated causal discovery, federated learning, interpretable

Nothing but Regrets - Privacy-Preserving Federated Causal Discovery

Mian, Osman; Kamp, Michael; Vreeken, Jilles

Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments Proceedings Article

In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.

BibTeX | Tags: causal discovery, causality, federated, federated causal discovery, federated learning, intervention

Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments