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cs.DC2023
The Case for Hierarchical Deep Learning Inference at the Network Edge
Ghina Al-Atat, Andrea Fresa, Adarsh Prasad Behera +3
Resource-constrained Edge Devices (EDs), e.g., IoT sensors and microcontroller units, are expected to make intelligent decisions using Deep Learning (DL) inference at the edge of t…
cs.DC2021★ 4 cited
Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint
Andrea Fresa, Jaya Prakash Champati
With the emergence of edge computing, the problem of offloading jobs between an Edge Device (ED) and an Edge Server (ES) received significant attention in the past. Motivated by th…