£93.00

Springer - Federated Learning: Fundamentals and Advances Book

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Description

Expand your knowledge of modern machine learning with Federated Learning: Fundamentals and Advances. Published by Springer, this book belongs to the Machine Learning: Foundations, Methodologies, and Applications series. It provides a deep look into the core concepts and recent developments within the field of federated learning. This academic resource is designed for those studying computer science, artificial intelligence, and machine learning. By focusing on both the foundational principles and the latest advancements, the text helps readers understand how decentralized data training works in today's computing landscape. It serves as a valuable addition to any professional or academic library focused on AI and internet computing.

Key Features

Part of the Machine Learning: Foundations, Methodologies, and Applications series for structured learning.

Comprehensive coverage of federated learning fundamentals and recent technical advances.

Published by Springer, a leading name in scientific and technical literature.

Ideal for researchers and students in the fields of AI and computer science.

Categorized under Computing and Internet for easy academic reference.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 2022
Listed Since
30 August 2022

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No barcode data available

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