5 citations · 6 across the 10 of their papers we have counts for
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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…
cs.DC2021
Characterizing and Optimizing EDA Flows for the Cloud
Abdelrahman Hosny, Sherief Reda
Cloud computing accelerates design space exploration in logic synthesis, and parameter tuning in physical design. However, deploying EDA jobs on the cloud requires EDA teams to dee…