Search Results for author:
Found 3 papers, 1 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.
DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning
The increasing reliance upon cloud services entails more flexible networks that are realized by virtualized network equipment and functions.
Networking and Internet Architecture
Cannot find the paper you are looking for? You can
Submit a new open access paper.
