Search Results for author:
Found 2 papers, 0 papers with code
Privacy-Aware Human Mobility Prediction via Adversarial Networks
Our proposed architecture reports a Pareto Frontier analysis that enables the user to assess this trade-off as a function of Lagrangian loss weight parameters.
Fairness in Federated Learning for Spatial-Temporal Applications
Federated learning involves training statistical models over remote devices such as mobile phones while keeping data localized.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
