Federated Analytics: Collaborative Data Science without Data Collection

Federated learning, introduced in 2017, enables developers to train machine learning (ML) models across many devices without centralized data collection, ensuring that only the user has a copy of their data, and is used to power experiences like suggesting next words and expressions in Gboard for An

https://ai.googleblog.com/2020/05/federated-analytics-collaborative-data.html