What is federated learning?
Ben Dickson,
TechTalks,
Sept 01, 2021
"The main idea behind federated learning," writes Ben Dickson, "is to train a machine learning model on user data without the need to transfer that data to cloud servers." We can see immediately the advantage of this. It creates a scenario where it is possible to enjoy the benefits of AI without the cost of surrendering your privacy to an all-seeing central server. Now this isn't automatic. There's a need for a back-and-forth exchange of data to ensure that the machine learning taking place at the edge is consistent with the model at the center. But, "advances in edge AI have made it possible to avoid sending sensitive user data to application servers. Also known as TinyML, this is an active area of research."
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