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Federated Learning Systems

Overview of attention for book
Cover of 'Federated Learning Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Federated Learning Research: Trends and Bibliometric Analysis
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    Chapter 2 A Review of Privacy-Preserving Federated Learning for the Internet-of-Things
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    Chapter 3 Differentially Private Federated Learning: Algorithm, Analysis and Optimization
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    Chapter 4 Advancements of Federated Learning Towards Privacy Preservation: From Federated Learning to Split Learning
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    Chapter 5 PySyft: A Library for Easy Federated Learning
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    Chapter 6 Federated Learning Systems for Healthcare: Perspective and Recent Progress
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    Chapter 7 Towards Blockchain-Based Fair and Trustworthy Federated Learning Systems
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    Chapter 8 An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
Attention for Chapter 7: Towards Blockchain-Based Fair and Trustworthy Federated Learning Systems
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Citations

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Chapter title
Towards Blockchain-Based Fair and Trustworthy Federated Learning Systems
Chapter number 7
Book title
Federated Learning Systems
Published by
Springer, Cham, June 2021
DOI 10.1007/978-3-030-70604-3_7
Book ISBNs
978-3-03-070603-6, 978-3-03-070604-3
Authors

Ahmed Mukhtar Dirir, Khaled Salah, Davor Svetinovic, Dirir, Ahmed Mukhtar, Salah, Khaled, Svetinovic, Davor

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 13%
Student > Postgraduate 1 13%
Unknown 6 75%
Readers by discipline Count As %
Computer Science 2 25%
Unknown 6 75%

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