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Deeksha Chaudhary

1 accepted papers

2025

NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments

ICLR 2025poster

The deployment of Deep Neural Networks (DNNs) in energy-constrained environments, such as Energy Harvesting Wireless Sensor Networks (EH-WSNs), introduces significant challenges due to the intermittent nature of power availability. This study introduces NExUME, a novel training methodology designed…

Cited by 0SourcePDFScholar