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Found 4 papers, 1 papers with code
Energy-Aware Deep Learning on Resource-Constrained Hardware
The use of deep learning (DL) on Internet of Things (IoT) and mobile devices offers numerous advantages over cloud-based processing.
Benchmarking Ultra-Low-Power $μ$NPUs
Our framework provides a foundation for further evaluation of $\mu$NPU platforms alongside valuable insights for both hardware designers and software developers in this rapidly evolving space.
Terracorder: Sense Long and Prosper
In-situ sensing devices need to be deployed in remote environments for long periods of time; minimizing their power consumption is vital for maximising both their operational lifetime and coverage.
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices
For each type, we fine-tune different blocks of the model to achieve optimal performance with reduced energy costs.
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