Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)

Author:

Zeng Tengchan1ORCID,Semiari Omid2ORCID,Saad Walid3ORCID,Bennis Mehdi4ORCID

Affiliation:

1. Ford Motor Company, Dearborn, MI, USA

2. Department of Electrical and Computer Engineering, University of Colorado, Colorado Springs, CO, USA

3. Department of Electrical and Computer Engineering, Wireless@VT, Virginia Tech, Blacksburg, VA, USA

4. Centre for Wireless Communications, University of Oulu, Oulu, Finland

Funder

Office of Naval Research (ONR) under Multidisciplinary University Research Initiative

CHISTERA-EU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Reference42 articles.

1. Towards Physics-informed Deep Learning for Turbulent Flow Prediction

2. A primer on cellular network analysis using stochastic geometry;andrews;arXiv 1604 03183,2016

3. Poisson Cox Point Processes for Vehicular Networks

4. Fourier neural operator for parametric partial differential equations;li;arXiv 2010 08895,2020

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1. Urban Air Mobility Communication Performance Considering Cochannel Interference;IEEE Transactions on Aerospace and Electronic Systems;2024-08

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