Prospects of federated machine learning in fluid dynamics

@article{San2022ProspectsOF,
  title={Prospects of federated machine learning in fluid dynamics},
  author={Omer San and Suraj Pawar and Adil Rasheed},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.07017}
}
Physics-based models have been mainstream in fluid dynamics for developing predictive models. In recent years, machine learning has offered a renaissance to the fluid community due to the rapid developments in data science, processing units, neural network based technologies, and sensor adaptations. So far in many applications in fluid dynamics, machine learning approaches have been mostly focused on a standard process that requires centralizing the training data on a designated machine or in a… 

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