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Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks - Softcover
Synopsis
Learn the essential skills for building an authentic federated learning system with Python and take your machine learning applications to the next level
Key Features
- Design distributed systems that can be applied to real-world federated learning applications at scale
- Discover multiple aggregation schemes applicable to various ML settings and applications
- Develop a federated learning system that can be tested in distributed machine learning settings
Book Description
Federated learning (FL) is a paradigm-shifting technology in AI...
About the Author
Kiyoshi Nakayama, PhD, is the founder and CEO of TieSet Inc., which leads the development and dissemination of one of the most advanced distributed and federated learning platforms in the world. Before founding TieSet, he was a research scientist at NEC Laboratories America, renowned for having the world’s top-notch machine learning research group of researchers. He was also a postdoctoral researcher at Fujitsu Laboratories of America, where...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2022
- ISBN 10 180324710X
- ISBN 13 9781803247106
- BindingPaperback
- LanguageEnglish
- Number of pages326
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Federated Learning with Python: Design and deploy powerful federated learning applications on private data using PySyft, TFF, STADLE
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