What is federated learning and can you give me some examples?

What is federated learning and can you give me some examples?

Federated learning is a machine learning approach that allows models to be trained across multiple decentralized devices while keeping data localized. For example, Google uses federated learning to improve its keyboard suggestions without sending user data to the cloud.

How does it ensure data privacy?

Federated learning enhances data privacy by keeping the data on the user's device. Only model updates are shared, which reduces the risk of exposing sensitive information.

Can you give me another example of its application?

Sure! Another example is in healthcare, where federated learning can help train models on patient data from different hospitals without sharing the actual data, thus maintaining patient confidentiality.

What are the challenges of implementing federated learning?

Some challenges include dealing with heterogeneous data across devices, ensuring model convergence, and managing communication costs between devices.