Fei-Fei Li

Federated Learning is a decentralized machine learning method that enables training models across numerous devices or servers while keeping raw data localized. This approach enhances privacy and security by sharing only model updates, such as gradients, instead of sensitive data, allowing collaborative learning without compromising individual data privacy. It is widely used in mobile and healthcare applications.