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Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework
[article]
2021
arXiv
pre-print
The security and privacy concerns along with the amount of data that is required to be processed on regular basis has pushed processing to the edge of the computing systems. Deploying advanced Neural Networks (NN), such as deep neural networks (DNNs) and spiking neural networks (SNNs), that offer state-of-the-art results on resource-constrained edge devices is challenging due to the stringent memory and power/energy constraints. Moreover, these systems are required to maintain correct
arXiv:2109.09829v1
fatcat:rfbshpbaevgxdi4mnjskis5lty