| 書目名稱 | Robust Machine Learning | | 副標題 | Distributed Methods | | 編輯 | Rachid Guerraoui,Nirupam Gupta,Rafael Pinot | | 視頻video | http://file.papertrans.cn/832/831323/831323.mp4 | | 概述 | Introduces a principled approach to‘learning from untrusted data sources.Presents the first systematic overview of robust distributed machine learning.Equips readers with skills for designing and anal | | 叢書名稱 | Machine Learning: Foundations, Methodologies, and Applications | | 圖書封面 |  | | 描述 | .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. This could, for example, result from hardware and software bugs, data poisoning or a malicious player controlling a subset of the machines. This book explains in simple terms what it means for a distributed machine learning scheme to be robust to these threats, and how to build provably robust machine learning algorithms..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 | | 出版日期 | Book 2024 | | 關鍵詞 | Distributed Machine Learning; Trustworthy Machine Learning; Reliable Machine Learning; Safe Machine Lea | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-0688-4 | | isbn_softcover | 978-981-97-0690-7 | | isbn_ebook | 978-981-97-0688-4Series ISSN 2730-9908 Series E-ISSN 2730-9916 | | issn_series | 2730-9908 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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