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Exploring Deep Neural Networks on Edge TPU
Based on the use of a joint-time-frequency data representation, also known as spectrogram, we explore the trade-off between classification performance and the energy consumed for inference.
Exploring Edge TPU for Network Intrusion Detection in IoT
The focus of this paper is the exploration of deep learning-based NIDS at the edge of IoT, and in particular the computational and energy efficiency.
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