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Split Federated Learning for Secure IoT Applications

Concepts, frameworks, applications and case studies

Language EnglishEnglish
E-book Adobe ePub DRM
New approaches in federated learning and split learning have the potential to significantly improve... Full description
? points 496 b
74 260 Ft
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New approaches in federated learning and split learning have the potential to significantly improve ubiquitous intelligence in internet of things (IoT) applications. In split federated learning, the machine learning model is divided into smaller network segments, with each segment trained independently on a server using distributed local client data.

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