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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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2021

Linsner, Florian; Adilova, Linara; Däubener, Sina; Kamp, Michael; Fischer, Asja

Approaches to Uncertainty Quantification in Federated Deep Learning Workshop

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, vol. 2, Springer, 2021.

Links | BibTeX | Tags: federated learning, uncertainty

Approaches to Uncertainty Quantification in Federated Deep Learning