Federated Learning
Category
•
Machine Learning
Definition
A distributed machine learning approach where models are trained across multiple devices without centralizing data, preserving privacy while enabling collaborative learning from decentralized datasets.
tl;dr
A distributed learning approach that trains models across devices without centralizing data.