The world of artificial intelligence (AI) is rapidly evolving, and with it, the way humans interact with machines. As AI becomes more integrated into our daily lives, it is important to consider how we can improve human-machine interaction. One promising solution is federated learning.
Federated learning is a decentralized approach to machine learning that allows multiple devices to collaborate on a common machine learning model. This means that instead of sending data to a central server for processing, data is kept on the device and only the model updates are sent back to the server.