Federated Learning image test

image-projects/federated-learning-raspberry-pi.md

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 ![](../.gitbook/assets/federated-learning/img1_cover-image.jpg)
 
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 ## Introduction
 
 In Machine Learning (ML), we build a model that is trained to do a particular task like object detection, anomaly detection, or prediction. To develop a model, we normally collect some data onto one computer and then we train the model on the computer with the centralized data. However, in some situations, using a centralized machine learning model may not be effective. In some situations the data may be sensitive, not diverse and too large requiring a lot of internet data for it to be uploaded to the central computer.