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5min chapter
Friendly federated learning 🌼
Practical AI: Machine Learning, Data Science, LLM
Is Federated Learning Better Than Centralized Learning?
In many cases, the amount of data and diversityt ty that you have in your local data set is just not enough. We've seen this in the past t if we look a little bit at the journey that machine learning and deep learning now now took. The types of use cases that fedoated learning gets used for, sometimes we 're surprisedour and where exactly these companies are hesitant to share data. Why don't they collaborate on eictidence models from running machines which could allow others to draw some conclusions about how many parts were produced? In reality, even though it's highly easy, it isn't as easy as people think.
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