£115.51

Springer - Federated Learning: Fundamentals and Advances Book

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£121.12 £114.75 £116.14 £117.53 £118.92 £120.31 £121.70 28 January 2026 17 February 2026 10 March 2026 31 March 2026 21 April 2026

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Description

Expand your knowledge of modern artificial intelligence with Federated Learning: Fundamentals and Advances. Published by Springer, this book is part of the Machine Learning: Foundations, Methodologies, and Applications series. It provides a structured look at the evolving landscape of decentralized machine learning. This resource is designed for readers interested in the technical foundations and recent progress within the field of AI. By focusing on the methodologies and applications that define current research, it serves as a comprehensive guide for those studying computer science and machine learning. Whether you are exploring the core principles or looking at recent advancements, this text offers a deep dive into how federated learning functions within the broader context of intelligent systems. It is an essential addition to any professional or academic library dedicated to computing and internet technologies.

Key Features

Part of the Machine Learning: Foundations, Methodologies, and Applications series for organized study.

Published by Springer, a recognized name in high-quality academic and technical literature.

Covers the fundamentals and recent advances in the field of federated learning.

Designed for readers focused on computer science, AI, and machine learning topics.

Provides a technical foundation for understanding decentralized machine learning methodologies.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 December 2023
Listed Since
04 November 2023

Barcode

No barcode data available

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