Survey of federated learning models for spatial-temporal mobility applications
Federated learning involves training statistical models over edge devices such as mobile
phones such that the training data is kept local. Federated Learning (FL) can serve as an …
phones such that the training data is kept local. Federated Learning (FL) can serve as an …
Human Mobility Challenge: Are Transformers Effective for Human Mobility Prediction?
Transformer-based models are popular for time series forecasting and spatiotemporal
prediction due to their ability to infer semantic correlations in long sequences. However, for …
prediction due to their ability to infer semantic correlations in long sequences. However, for …