£122.60

Chapman and Hall/CRC - Federated Learning Applications Book

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Description

Explore the evolving landscape of decentralized machine learning with Applications of Federated Learning in Technological Advancements: Use Cases and Applications. Published by Chapman and Hall/CRC, this book provides a deep look into how federated learning models are implemented across various sectors to drive technological progress. This resource is designed for professionals and students interested in computer science architecture and microprocessors. It examines the practical implementation of federated learning, focusing on real-world use cases that demonstrate how data privacy and distributed computing work together. By studying these specific applications, readers gain a better understanding of how modern technology handles complex data tasks without compromising security. Whether you are researching computer science architecture or looking for specific technical use cases, this text serves as a specialized guide to the current state of federated learning technology. It is an essential addition to any library focused on the latest advancements in computing and internet technologies.

Key Features

Detailed exploration of federated learning use cases to help you understand real-world technological implementations.

Published by Chapman and Hall/CRC, ensuring a professional standard for computer science research and study.

Focused content on technological advancements that impact modern computing and internet architecture.

A specialized resource for those studying computer science, specifically within architecture and microprocessors.

Provides a clear look at how distributed learning models function within various technical frameworks.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 September 2025
Listed Since
08 March 2025

Barcode

No barcode data available

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