eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference. (arXiv:2205.05756v1 [cs.LG])

Web: http://arxiv.org/abs/2205.05756

As the most significant data source in smart mobility systems, GPS
trajectories can help identify user travel mode. However, these GPS datasets
may contain users' private information (e.g., home location), preventing many
users from sharing their private information with a third party. Hence,
identifying travel modes while protecting users' privacy is a significant
issue. To address this challenge, we use federated learning (FL), a
privacy-preserving machine learning technique that aims at collaboratively
training a robust global model by accessing users' …

arxiv deep ensemble inference networks neural neural networks