Neural network deployment on FPGAs relies on compilation frameworks that automatically generate streaming dataflow architectures mapping neural layers to optimized HLS/RTL kernels. These frameworks require tuning layerspecific architectural parameters that govern the trade-off between resource utilization and inference...
Edoardo Trombotto, Valentino Peluso, A. Calimera et al.· Forum on Specification and D...· 0 citations
A prototype-based Nearest Class Mean (NCM) classifier is adopted in which a simple Convolutional Neural Network (CNN) encoder is trained and quantized offline, while class prototypes are stored and updated on the device in streaming mode, effectively enabling online adaptation of the perception framework.
Beatrice Alessandra Motetti, Tanguy Dugas Du Villard, M. Risso et al.· IEEE Embedded Systems Letter...· 0 citations
A novel self-supervised strategy for effective single-machine training based on classifying the distance between the monitored machine and each microphone sensor of a multi-channel recording system is introduced, providing a cost-efficient and privacy-preserving alternative while delivering competitive detection perfor...
Erich Malan, Valentino Peluso, A. Calimera et al.· IEEE Access· 0 citations
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