A privacy-enhancing technology.
On-device learning, also known as federated learning, finds useful patterns in historical data in order to make predictions — for example, which ads will be most relevant to a person — all while ensuring people's individual data remains on their devices.
With on-device learning, people's personal data stays on their device, while allowing platforms to find patterns and make predictions that help advertisers’ reach relevant audiences and people find the products and services they are most likely to love.
Meet Hector. He loves live music and follows his favorite bands on Facebook.