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Federated Learning: Fundamentals and Advances
Paperback
Series: Machine Learning: Foundations, Methodologies, and Applications
General ComputersComputer Security
ISBN13: 9789811970856
Publisher: Springer
Published: Dec 1 2023
Pages: 218
Weight: 0.73
Height: 0.49 Width: 6.14 Depth: 9.21
Language: English
This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on a large body of decentralized data. Its goal is to make full use of data across organizations or devices while meeting regulatory, privacy, and security requirements.
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