Federated Learning Systems is popular PDF and ePub book, written by Muhammad Habib ur Rehman in 2021-06-11, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Federated Learning Systems can be Read Online from any device for your convenience.
Federated Learning Systems Book PDF Summary
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.
Detail Book of Federated Learning Systems PDF
- Author : Muhammad Habib ur Rehman
- Release : 11 June 2021
- Publisher : Springer Nature
- ISBN : 9783030706043
- Genre : Technology & Engineering
- Total Page : 207 pages
- Language : English
- PDF File Size : 13,9 Mb
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