Mobile traffic modeling
- Traffic prediction
- RNN and CNN based models
- transfer learning
- Traffic classification
- service and app identification
- based on active measurements
- Joint traffic prediction and classification
- using multi-task learning
- Traffic anomaly detection
- semi-supervised learning
- identification of urban anomalies
- Usage of federated learning to build a general model from multiple cell sites (ITU AI4Good 5G Data Challenge)