Federated Cyber Intelligence Federated Learning for Cybersecurity /
This book offers a detailed exploration of how federated learning can address critical challenges in modern cybersecurity. It begins with an introduction to the core principles of federated learning. Then it highlights a strong foundation by exploring the fundamental components, workflow, and algori...
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| Autori principali: | , |
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| Ente Autore: | |
| Natura: | Elettronico eBook |
| Lingua: | inglese |
| Pubblicazione: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edizione: | 1st ed. 2025. |
| Serie: | SpringerBriefs in Computer Science,
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| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/978-3-031-86592-3 |
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Sommario:
- Preface
- Chapter 1 Introduction to Federated Learning
- Chapter 2 Core Concepts of Federated Learning
- Chapter 3 Fundamentals of Cybersecurity
- Chapter 4 Cyber Security Intelligent Systems Based on Federated Learning
- Chapter 5 Closing Thoughts, and Future Directions in Federated Cyber Intelligence.