What is federated learning?

A machine-learning approach that trains a shared model across many devices using their local data, without centralising that raw data.

In an energy market it is a proposed way to train each endpoint's forecasting AI efficiently and privately — the models improve collaboratively while private consumption data never leaves the household.

Go deeper:

• Federated learning — Wikipedia — diagrams devices training a shared model without pooling raw data.