Energy-Aware Dynamic Neural Inference

The growing demand for intelligent applications beyond the network edge, coupled with the need for sustainable operation, are driving the seamless integration of deep learning (DL) algorithms into energy-limited, and even energy-harvesting end-devices. However, the stochastic nature of ambient energ...

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Hauptverfasser:	Bullo, Marcello, Jardak, Seifallah, Carnelli, Pietro, Gündüz, Deniz
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Systems and Control
Online-Zugang:	Volltext bestellen
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