Federated AI Still Has a Central Coordinator Problem

This story was originally published on HackerNoon at: https://hackernoon.com/federated-ai-still-has-a-central-coordinator-problem. Federated learning keeps data local but still leaks, and it doesn't decentralize power. A look at its limits, an open-source stack, and the causal gap. Check more stories related to web3 at: https://hackernoon.com/c/web3. You can also check exclusive content about #decentralize-ai, #decentralize-ai-hackathon, #federated-learning, #data-sovereignty, #ai-privacy, #ai-infrastructure, #causal-ai, #open-source-ai, and more. This story was written by: @sanchay072_9fb8mnsg. Learn more about this writer by checking @sanchay072_9fb8mnsg's about page, and for more stories, please visit hackernoon.com. Federated learning keeps raw data where it lives, which is valuable. But it doesn't make AI private by default, and it doesn't decentralize power, because someone still runs the coordinator. Here is what it actually guarantees, an open-source stack you can build with today, and a gap that gets little attention: learning causal structure across data silos.