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Found 6 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.
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Unlike traditional FL, MultiConfederated Learning will maintain multiple models in parallel (instead of a single global model) to help with convergence when the data is non-IID.
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
To address these issues, we present in this survey a novel multi-layered pipeline ecosystem composed of (1) the Metaverse computing, networking, communications and hardware infrastructure, (2) environment digitization, and (3) user interactions.
Business Ethics
Cultural Vocal Bursts Intensity Prediction
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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.
Machine Learning-Based EDoS Attack Detection Technique Using Execution Trace Analysis
In this work, we propose a novel framework to detect different types of EDoS attacks by designing a profile that learns from and classifies the normal and abnormal behaviors.
