I am a volunteer developer working in my free time with OpenMined to build open-source software that blends machine learning with privacy-preserving techniques to enable discoveries using. Simply put, federated learning is machine learning where the data and the model are initially located in two different locations. The model must travel to the data in order for training to take place in a privacy-preserving manner. that train data using Federated Learning," Trask says. "Google invented something and now it's going to take wings and run on its own. It shows their leadership in the privacy space." But OpenMined's work isn't a one-way relationship with Google. There's a back and forth, building upon each group's privacy-protecting efforts.