On the heels of , a library for training AI models with “strong privacy guarantees,” Google today debuted another module for its TensorFlow machine learning framework: . It’s intended to make it easier to experiment with machine learning and other computations on decentralized data, according to the Mountain View company, by implementing an approach called federated learning.

“We have designed TFF based on our experiences with developing the federated learning technology at Google, where it powers ML models for mobile keyboard predictions and on-device search,” Google wrote in a published this morning. “With TFF, we are excited to put a

Read More At Article Source | Article Attribution