From InfoWorld: Google has begun using a machine learning approach to learn from user interactions with mobile devices.
Currently under testing in the Gboard on Android keyboard, Federated Learning lets smartphones collaboratively pick up a shared prediction model while keeping training data on the device. This way, the need to do machine learning is decoupled from the need to store the data in the cloud.
Federated Learning provides for smarter models, less power consumption, lower latency, and ensured privacy, Google research scientists said. The model on the phone can help power experiences personalized by how users interact with the device.
With the testing now underway, when Gboard shows a suggested query, the smartphone locally stores information about the current context and whether the user clicked the suggestion. Federated Learning then processes that history on-device to suggest improvements to the next iteration of Gboard's query suggestion model.
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