Machine learning (ML) is a subset of artificial intelligence (AI), where the focus is to allow systems to learn from historical data and make predictions.
Federated Learning can be especially useful for sensitive data that cannot be shared with a central location like personal information or medical data.
Federated Learning can be used to train models on device data, such as sensor readings, in order to perform tasks like image recognition and anomaly detection.
