Research Area:  Vehicular Ad Hoc Networks

Abstract:

We propose a novel communication efficient and privacy preserving federated learning framework for enhancing the performance of Internet of Vehicles (IoV), wherein on-vehicle learning models are trained by exchanging inputs, outputs and their learning parameters locally. Moreover, we use analytic modeling as a tool for reasoning and developing the required IoV scenario and stabilize their data flow dynamics by considering TCP CUBIC streams over WiFi networks to prove our idea.

Keywords:  

Author(s) Name:  Shiva Raj Pokhrel; Jinho Choi

Publisher name:  IEEE

DOI:  10.1109/TVT.2020.2984369

Volume Information:  ( Volume: 69, Issue: 6, June 2020) Page(s): 6798 - 6802

Paper Link:   https://ieeexplore.ieee.org/abstract/document/9055134