Privacy-preserving disease prediction using homomorphic encryption and federated learning
The advent of IoT devices led to the creation of many different, distributed machine learning techniques to identify patterns and make logical decisions based on the large volumes of data generated. Traditionally, these devices readily shared their raw data with a centralised server. However, this sharing of raw data is not conducive to maintaining the … Read more