11 citations · 11 across the 3 of their papers we have counts for
8 papers
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization
Genya Ishigaki, Siddartha Devic, Riti Gour +1
The emergence of diverse network applications demands more flexible and responsive resource allocation for networks. Network slicing is a key enabling technology that provides each…
ResiliNet: Failure-Resilient Inference in Distributed Neural Networks
Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic +5
Federated Learning aims to train distributed deep models without sharing the raw data with the centralized server. Similarly, in distributed inference of neural networks, by partit…
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud
Ashkan Yousefpour, Siddartha Devic, Brian Q. Nguyen +4
Partitioning and distributing deep neural networks (DNNs) over physical nodes such as edge, fog, or cloud nodes, could enhance sensor fusion, and reduce bandwidth and inference lat…
Job Edge-Fog Interconnection Network Creation Game in Internet of Things
Rupei Xu, András Faragó, Jason P. Jue
This is the first paper to address the topology structure of Job Edge-Fog interconnection network in the perspective of network creation game. A two level network creation game mod…
DeepPR: Progressive Recovery for Interdependent VNFs with Deep Reinforcement Learning
Genya Ishigaki, Siddartha Devic, Riti Gour +1
The increasing reliance upon cloud services entails more flexible networks that are realized by virtualized network equipment and functions. When such advanced network systems face…
Improving the Survivability of Clustered Interdependent Networks by Restructuring Dependencies
Genya Ishigaki, Riti Gour, Jason P. Jue
The interdependency between different network layers is commonly observed in Cyber Physical Systems and communication networks adopting the dissociation of logic and hardware imple…