3 papers
cs.LG2021
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
Abdelrahman Hosny, Marina Neseem, Sherief Reda
Training on the Edge enables neural networks to learn continuously from new data after deployment on memory-constrained edge devices. Previous work is mostly concerned with reducin…
cs.CV2021
AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices
Marina Neseem, Sherief Reda
Convolutional Neural Networks achieve state-of-the-art accuracy in object detection tasks. However, they have large computational and energy requirements that challenge their deplo…
eess.SP2020
AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices
Marina Neseem, Jon Nelson, Sherief Reda
Wearable devices have strict power and memory limitations. As a result, there is a need to optimize the power consumption on those devices without sacrificing the accuracy. This pa…