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Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence.

, , и . ICASSP, стр. 8524-8528. IEEE, (2020)

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Nicolas Jeanvoine

Plasma-material interaction and electrode degradation in high voltage ignition discharges. Uni Saarbrücken, (2009)

Nicolas Rüsch

Nicolas Haas

Nicolas Trapp

Nicolas Simon

 

Другие публикации лиц с тем же именем

Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning., и . IEEE Communications Letters, 23 (9): 1542-1546 (2019)Spiking Neural Networks - Part III: Neuromorphic Communications., , и . CoRR, (2020)Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence., , и . CoRR, (2019)Spiking Neural Networks - Part I: Detecting Spatial Patterns., , и . CoRR, (2020)Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference., , и . IEEE Trans. Cogn. Commun. Netw., 9 (2): 252-265 (апреля 2023)Bayesian Continual Learning via Spiking Neural Networks., , и . CoRR, (2022)Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence., , и . ICASSP, стр. 8524-8528. IEEE, (2020)Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing., , , , , , , , и . CoRR, (2023)Neuromorphic Integrated Sensing and Communications., , и . CoRR, (2022)Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity., , , , и . ISCAS, стр. 1-5. IEEE, (2023)