| 书目名称 | Federated Learning | | 副标题 | Fundamentals and Adv | | 编辑 | Yaochu Jin,Hangyu Zhu,Yang Chen | | 视频video | | | 概述 | Presents the fundamentals of and latest advances in federated learning.Addresses communication efficiency and privacy-preservation problems in federated learning.Proposes applying evolutionary neural | | 丛书名称 | Machine Learning: Foundations, Methodologies, and Applications | | 图书封面 |  | | 描述 | .This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on a large body of decentralized data. Its goal is to make full use of data across organizations or devices while meeting regulatory, privacy, and security requirements. .The book starts with a self-contained introduction to artificial neural networks, deep learning models, supervised learning algorithms, evolutionary algorithms, and evolutionary learning. Concise information is then presented on multi-party secure computation, differential privacy, and homomorphic encryption, followed by a detailed description of federated learning. In turn, the book addresses the latest advances in federate learning research, especially from the perspectives of communication efficiency, evolutionarylearning, and privacy preservation..The book is particularly well suited for graduate students, academic researchers, and industrial practitioners in the field of machine learning and artificial intelligence. | | 出版日期 | Book 2023 | | 关键词 | Machine Learning; Federated Learning; Data Privacy; Cryptology; Neural Networks | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-7083-2 | | isbn_softcover | 978-981-19-7085-6 | | isbn_ebook | 978-981-19-7083-2Series 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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发表于 2025-3-21 20:03:24
