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Found 3 papers, 1 papers with code
CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication
In this study, we propose combining these technologies to address the continuous authentication challenge while protecting user privacy and limiting device resource usage.
Warmup and Transfer Knowledge-Based Federated Learning Approach for IoT Continuous Authentication
Most of the literature focuses on training machine learning for the user by transmitting their data to an external server, subject to private user data exposure to threats.
ModularFed: Leveraging Modularity in Federated Learning Frameworks
Numerous research recently proposed integrating Federated Learning (FL) to address the privacy concerns of using machine learning in privacy-sensitive firms.
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