sherpa.ai

Federated learning, without the jargon.​

The usual way to train a model is to bring all the data into one place. That stops working when the data is patient records, transactions or security telemetry.​
Federated learning brings the model to the data instead. Each node trains on what it holds and returns only what it learned.​

Not a privacy layer added at the end. An architecture decision taken at the start.​