Search Results for author:
Found 2 papers, 0 papers with code
ResiliNet: Failure-Resilient Inference in Distributed Neural Networks
Nevertheless, when a neural network is partitioned and distributed among physical nodes, failure of physical nodes causes the failure of the neural units that are placed on those nodes, which results in a significant performance drop.
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud
To articulate deepFogGuard, we introduce the elements and a model for the resiliency of distributed DNN inference.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
