2 citations · 2 across the 1 of their papers we have counts for
6 papers
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…
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey
Ashkan Yousefpour, Caleb Fung, Tam Nguyen +5
With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billion…
On Reducing IoT Service Delay via Fog Offloading
Ashkan Yousefpour, Genya Ishigaki, Riti Gour +1
With the Internet of Things (IoT) becoming a major component of our daily life, understanding how to improve the quality of service (QoS) for IoT applications through fog computing…
A Privacy Scheme for Monitoring Devices in the Internet of Things
Zygmunt J. Haas, Ashkan Yousefpour
Sufficiently strong security and privacy mechanisms are prerequisite to amass the promising benefits of the IoT technology and to incorporate this technology into our daily lives.…
Instant Accident Reporting and Crowdsensed Road Condition Analytics for Smart Cities
Ashkan Yousefpour, Caleb Fung, Tam Nguyen +2
The following report contains information about a proposed technology by the authors, which consists of a device that sits inside of a vehicle and constantly monitors the car infor…