Abstract: We present a low-power, stochastic computing-based method for real-time video edge detection. Traditional Sobel-based pipelines are often resource-intensive and consume substantial power. In ...
Abstract: This paper presents FedNAS, a novel federated learning (FL) framework designed for robust and personalized models to detect anomalies at distributed electric vehicle charging stations (EVCSs ...
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