Robust Machine Learning [electronic resource] Distributed Methods for Safe AI / by Rachid Guerraoui, Nirupam Gupta, Rafael Pinot.

Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning procedure...

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Bibliographic Details

Online Access:	Online Access (A-Z Journals and Newspapers)
Main Authors:	Guerraoui, Rachid (Author), Gupta, Nirupam (Author), Pinot, Rafael (Author)
Corporate Author:	SpringerLink (Online service)
Other title:	Robust Machine Learning: Distributed Methods for Safe AI
Format:	Electronic eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Machine Learning: Foundations, Methodologies, and Applications,
Subjects:	Machine learning. Computer security. Multiagent systems. Cloud Computing. Machine Learning. Principles and Models of Security. Multiagent Systems.