China's State News Agency Introduces New Artificial Intelligence Anchor

The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model creation has arisen, called federated learning. Federated learning brings machine learning models to the data source, rather than bringing the data to the model. Federated learning links together multiple computational devices into a decentralized system that allows the individual devices that collect data to assist in training the model. In a federated learning system, the various devices that are part of the learning network each have a copy of the model on the device.