A machine learning method called federated learning enables many parties to jointly train a model without sharing their local data. This method contrasts from more conventional decentralized options, which usually assume that local data samples are evenly distributed, as well as regular centralized machine learning techniques, in which all local datasets are uploaded to a...Read More