What is Federated Learning?
Federated learning is a machine learning concept used in a scenario where multiple models on private data are trained and then model updates are aggregated in a central server without sharing private data.
In this video, we will understand how exactly this is done.
Federated learning research paper: https://arxiv.org/pdf/1811.03604
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