Förlagets beskrivning
- Covers all major aspects of federated learning in various applications. - Presents the framework and important key aspects of federated machine learning. Major use cases like healthcare, industrial automation, blockchain and IoT are discussed in this book. - Includes a wide variety of topics, thus offers readers multiple perspectives on a variety of disciplines included in a number of chapters
Fler böcker av författarna
Liknande böckerFederal Reserve, Including: Federal Reserve System, Federal Reserve ACT, Federal Reserve Bank, Federal Reserve Note, Samuel P. Bush, Automated Clearing House, Federal Open Market Committee, Taylor Rule, Check 21 ACT, Prime Rate, Federal Funds RateeBook 2023
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Handbook on Federated Learning
Bokrecensioner » Handbook on Federated Learning
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