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Exploring Lightweight Federated Learning for Distributed Load Forecasting
Federated Learning (FL) is a distributed learning scheme that enables deep learning to be applied to sensitive data streams and applications in a privacy-preserving manner.
Quantised Neural Network Accelerators for Low-Power IDS in Automotive Networks
In this paper, we explore low-power custom quantised Multi-Layer Perceptrons (MLPs) as an Intrusion Detection System (IDS) for automotive controller area network (CAN).
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