Resiliency Approaches in Convolutional, Photonic, and Spiking Neural Networks
Alberto Bosio, Marcus Vinicius Oliveira Gomes, Fabio Pavanello, Antonio Porsia, Annachiara Ruospo, Ernesto Sánchez, Elena Ioana Vatajelu · 2024
This study presents a comparative examination of state-of-the-art resiliency approaches of Convolutional, Spiking, and Photonic neural networks (CNNs, SNNs, PNNs), their fault and error models, and the main fault tolerance techniques.