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6min chapter
Daniel Situnayake: AI on the Edge
The Gradient: Perspectives on AI
The Challenges of Federated Learning in Adji
Federated learning is a technique that's been developed to try to work around some of the challenges. The idea is that you might be able to essentially capture some data on device, do a little bit of training, and then send some updates to a central location. And hopefully they have overall models which work better. But it only really works well for applications that are either unsupervised or where you have labels available on the device.
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