Federated Learning Systems: Towards Privacy-Preserving Distributed AI (Studies in Computational Intelligence #832)
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BookPal × TalezoFederated Learning Systems
This book dives deep into both industry implementations and cutting-edge research driving the Federated Learning (FL) landscape forward. FL enables decentralized model training, preserves data privacy, and enhances security without relying on centralized datasets. Industry pioneers like NVIDIA have spearheaded the development of general-purpose FL platforms, revolutionizing how companies harness distributed data. Alternately, for medical AI, FL platforms, such as FedBioMed, enable collaborative model development across healthcare institutions to unlock massive value.
Research advances in PETs highlight ongoing efforts to ensure that FL is robust, secure, and scalable. Looking ahead, federated learning could transform public health by enabling global collaboration on disease prevention while safeguarding individual privacy. From recommendation systems to cybersecurity applications, FL is poised to reshape multiple domains, driving a future where collaboration and privacy coexist seamlessly.
The book, Federated Learning Systems: Towards Privacy-Preserving Distributed AI (Studies in Computational Intelligence #832) [Bulk, Wholesale, Quantity] ISBN#9783031788406 in Hardcover by may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer Nature Switzerland
- Format
- Hardcover
- Published
- Apr 27, 2025
- ISBN-13
- 9783031788406
- Pages
- 165
- Printing
- Printed on demand
Federated Learning Systems in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $175.99 | 12% off list |
| 50 – 99 | $173.99 | 13% off list |
| 100+ | $171.99 | 14% off list |
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Federated Learning Systems: Towards Privacy-Preserving Distributed AI (Studies in Computational Intelligence #832) [9783031788406]
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