£120.83

Springer Federated Learning Systems: Towards Next-Generation AI

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Description

Explore the future of decentralized artificial intelligence with Federated Learning Systems: Towards Next-Generation AI. Published by Springer as part of the Studies in Computational Intelligence series (Volume 965), this book provides a deep look into the evolving landscape of machine learning. As data privacy and security become central to AI development, understanding federated learning methods is essential for researchers and professionals. This text serves as a specialized resource for those working within the fields of computer science, machine learning, and computational intelligence. It is designed to support academic study and professional development in the rapidly changing world of distributed AI systems. Whether you are a student or a technical professional, this volume offers a structured approach to understanding how next-generation AI models are built and deployed. Add this important addition to your technical library to stay current with modern computational intelligence trends.

Key Features

Part of the respected Studies in Computational Intelligence series, specifically volume 965.

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

Provides specialized knowledge focused on next-generation AI and federated learning systems.

Designed for readers in the computer science and machine learning disciplines.

Serves as a comprehensive resource for studying advanced computational intelligence.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 June 2022
Listed Since
17 May 2022

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