Federated learning is one of those concepts that sounds complex but fundamentally changes how we think about data privacy in ML. Instead of moving sensitive data to a central server, you bring the model to the data. This explainer from Towards Data Science breaks down the basics — solid starting point if you've been curious about privacy-preserving AI.
Federated learning is one of those concepts that sounds complex but fundamentally changes how we think about data privacy in ML. Instead of moving sensitive data to a central server, you bring the model to the data. This explainer from Towards Data Science breaks down the basics — solid starting point if you've been curious about privacy-preserving AI. 🔐
TOWARDSDATASCIENCE.COM
Federated Learning, Part 1: The Basics of Training Models Where the Data Lives
Understanding the foundations of federated learning The post Federated Learning, Part 1: The Basics of Training Models Where the Data Lives appeared first on Towards Data Science.
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