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Can I read Federated Learning Systems: Towards Next-Generation AI 1 on EtoBox?

Federated Learning Systems: Towards Next-Generation AI 1 by Muhammad Habib ur Rehman,Mohamed Medhat Gaber (eds.) is a nonfiction available to read on EtoBox.

What is Federated Learning Systems: Towards Next-Generation AI 1 about?

This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data. Erscheinungsdatum: 12.06.2021

Who reads Federated Learning Systems: Towards Next-Generation AI 1?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Muhammad Habib ur Rehman,Mohamed Medhat Gaber (eds.)
Publisher
Springer International Publishing : Imprint: Springer
Published
2021
Language
EN
ISBN
9783030706036
Category
nonfiction
Subjects
Engineering, Mathematics, Computer Science

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