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Robust Machine Learning

Distributed Methods for Safe AI

Produktform: E-Buch Text Elektronisches Buch in proprietärem

Studying the robustness of machine learning algorithms is a necessity given the ubiquity of these algorithms in both the private and public sectors. Accordingly, over the past few years, we have witnessed a rapid growth in the number of articles published on the robustness of distributed machine learning algorithms. We believe it is time to provide a clear foundation to this emerging and dynamic field. By gathering the existing knowledge and democratizing the concept of robustness, the book provides the basis for a new generation of reliable and safe machine learning schemes. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-9819706884 / 978-9819706884 / 9789819706884

Verlag: Springer Singapore

Erscheinungsdatum: 04.04.2024

Seiten: 170

Autor(en): Rachid Guerraoui, Nirupam Gupta, Rafael Pinot

139,09 € inkl. MwSt.
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