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3min chapter
Federated Learning 📱
Practical AI: Machine Learning, Data Science, LLM
Using Python Frameworks to Train Models
There are practical ways to go about that that have been developed. We'll list out a few of those later in the episode, but i'm just looking at pigrid, which is one of these that's been released. The training will take place on that device with the private data. Once the training is completed, it's the delta or the diff of the parometers, the original state of the model is communicated back up to the server and then averaged into the centralized model.
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