£166.15

Springer - Blockchain and Federated Learning Synergy Book

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Description

Explore the intersection of emerging technologies with this specialized text from Springer. This book examines the synergy between blockchain and federated learning, focusing on the development of privacy-focused DeepFex solutions. It provides a technical look at how these blockchain technologies work together to address modern challenges in data security and distributed machine learning. Designed for readers interested in computer science, AI, and machine learning, this publication covers the foundational concepts and practical applications of combining decentralized ledgers with federated learning models. By studying these integrated approaches, readers gain insight into building more secure and private deep learning frameworks. This title is an essential resource for those studying the evolution of computing and internet technologies within the professional academic sphere.

Key Features

Focuses on the combination of blockchain and federated learning for advanced privacy protection.

Provides technical insights into DeepFex solutions within the blockchain technologies framework.

Published by Springer, a recognized name in professional and academic computer science literature.

Covers essential topics in AI and machine learning for modern computing environments.

Explores decentralized methods to enhance data security in deep learning applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 November 2025
Listed Since
15 July 2025

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No barcode data available

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