Poster: CarML: Distributed machine learning in vehicular

Authors

Anran Du, Boston College
Yicheng Shen, Boston College
Lewis Tseng, Boston CollegeFollow

Document Type

Conference Paper

Abstract

This paper presents CarML, a distributed machine learning platform built on top of an emerging computing paradigm, vehicular clouds. We discuss our design and technical challenges, followed by our preliminary solutions. We verify the efficacy of our solutions using a customized simulator based on Python and SUMO.

Publication Title

Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Publication Date

2020

First Page

917

Last Page

919

DOI

10.1145/3372224.3418168

Keywords

distributed machine learning, fault-Tolerance, parameter server, RSU, vehicular clouds

Repository Citation

Du, Anran; Shen, Yicheng; and Tseng, Lewis, "Poster: CarML: Distributed machine learning in vehicular" (2020). Computer Science. 129.
https://commons.clarku.edu/faculty_computer_sciences/129

APA Citation

Du, A., Shen, Y., & Tseng, L. (2020, September). CarML: distributed machine learning in vehicular clouds. In Proceedings of the 26th Annual International Conference on Mobile Computing and Networking (pp. 1-3).