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Found 5 papers, 0 papers with code
Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge
We report that although pruned networks are accurate on controlled, high-quality images of the grass, they struggle to generalize to real-world smartphone images that are blurry or taken from challenging angles.
PlantPlotGAN: A Physics-Informed Generative Adversarial Network for Plant Disease Prediction
These indices served as a proxy for disease detection and were used to evaluate if our model could help increase the accuracy of prediction models.
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning
Many real-time applications (e. g., Augmented/Virtual Reality, cognitive assistance) rely on Deep Neural Networks (DNNs) to process inference tasks.
Privacy and Efficiency of Communications in Federated Split Learning
Everyday, large amounts of sensitive data is distributed across mobile phones, wearable devices, and other sensors.
Hyperprofile-based Computation Offloading for Mobile Edge Networks
We compute features for a "hyperprofile" and position nodes based on the predicted costs of offloading a particular task.
