49 citations · 59 across the 5 of their papers we have counts for
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cs.LG2021★ 49 cited
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben, Stephanie Abrecht, Maram Akila +38
The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. These s…
cs.LG2019★ 1 cited
Information-Theoretic Perspective of Federated Learning
Linara Adilova, Julia Rosenzweig, Michael Kamp
An approach to distributed machine learning is to train models on local datasets and aggregate these models into a single, stronger model. A popular instance of this form of parall…