3 papers
eess.SY2021
Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers
Jonathan W. Lee, George Gunter, Rabie Ramadan +25
This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; vehicle energy models, with particular atten…
cs.LG2020
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…
cs.NI2019
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…