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Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning
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Specifications
| publisher | CRC Pr I Llc |
| isbn13 | 9781032471631 |
| isbn10 | 1032471638 |
| binding | paperback |
| language | english |
| edition | 1 |
| pages | 356 |
| publication_date | 2025-06-27 |
Product Description
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About this book
Handbook on Federated Learning: Advances, Applications and Opportunities published by CRC Pr I Llc.
Related topics
decentralized artificial intelligence, privacy preserving algorithms, encrypted parameter aggregation, GDPR data compliance, IoT security monitoring, deep reinforcement learning, federated learning healthcare applications.
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What You'll Learn
- ·In-depth exploration of topics covered in Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Books
Who Should Read This
Students and professionals interested in Books, as well as general readers looking to expand their knowledge.
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Is Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning available in English?
Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning is available in english on GlowMirror.
Who is the author of Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning?
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Who published Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning?
Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning is published by CRC Pr I Llc.
How many pages does Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning have?
Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning has 356 pages.
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At an average reading speed of 250 words per minute, reading Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning takes approximately 9 hours.
What is Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning about?
About this book
Handbook on Federated Learning: Advances, Applications and Opportunities published by CRC Pr I Llc.
Related topics
decentralized artificial intelligence, privacy preserving algorithms, encrypted parameter aggregation, GDPR data compliance, IoT security monitoring, deep reinforcement...
Is Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning suitable for beginners?
Whether Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning is suitable for beginners depends on your background in Books. Review the product description and specifications above for details on the target audience and difficulty level.
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Is Handbook on Federated Learning: Advances, Applications and Opportunities | Paperback | Machine Learning a new or used book?
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