Energy-Aware Selective Inference Task Offloading for Real-Time Edge Computing Applications
IoT has recently witnessed a boom in AI deployment at the edge as a result of the newly developed small size Machine Learning (ML) models and integrated hardware accelerators. Although it brings huge benefits such as privacy-preserving and low-latency applications, it still suffers from typical reso...
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Veröffentlicht in: | IEEE access 2024, Vol.12, p.72924-72937 |
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