B 2 SFL: A Bi-Level Blockchained Architecture for Secure Federated Learning-Based Traffic Prediction
Abstract: Federated Learning (FL) is a privacy-preserving machine learning (ML) technology that enables collaborative training and learning of a global ML model based on aggregating distributed local ...
Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.
Abstract: Driven by the demand for enhanced performance and efficiency of power electronic converters, this article presents a novel architecture for the high-definition sinusoidal pulseidth ...
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