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Building Agentic OS | VP, Data Science & AI @ Constellation

#eli5 #federatedlearning Federated Learning is a cool way to teach computers new skills without having to move all the data they learn from into one place. Imagine a bunch of kids in different playgrounds, each playing with their own toys and learning how to build sandcastles. Instead of bringing all their toys to one playground to share what they've learned, each kid learns to build a sandcastle in their own playground. In Federated Learning, each "playground" is actually a device like a smartphone or a computer. These devices each have their own data (like photos, messages, or app usage), but instead of sending all this private data over the internet to a big computer (which could be risky for privacy), the learning happens right on the device. Here’s how it works: ----------------------- 1. Starting Off: A central system (like a teacher) sends out the same basic lesson plan on how to build a sandcastle to all devices. 2. Learning Locally: Each device (like each kid in their playground) practices building their sandcastle using their own toys (data). This way, they improve the lesson plan a little bit based on what works best with their toys. 3. Sharing Improvements: Once they figure out some cool tricks, instead of sending their toys to the teacher, they just send back their new building tips (a summary of what they learned). 4.Updating the Lesson Plan: The central system gathers all these tips from different devices and makes the lesson plan better. Then, it sends this updated plan back to all devices. 5. Repeat: This process repeats, with the lesson plan getting better and better each time, without ever needing to move the toys from their playgrounds. This method is super useful because it protects everyone’s privacy while still helping all devices learn better and faster together. It’s like having a giant, shared learning experience without any risk of losing or exposing your own toys! #datascience #ai

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