IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning.
Ahmad FaizShahzeen AttariGayle BuckFan ChenLei JiangPublished in: CoRR (2024)
Keyphrases
- end to end
- deep learning
- unsupervised feature learning
- unsupervised learning
- machine learning
- deep architectures
- admission control
- mobile devices
- weakly supervised
- mental models
- neural network
- congestion control
- relation extraction
- visual features
- text classification
- motion estimation
- transport layer
- d objects
- multiscale
- text localization and recognition