FedReady Automates Federation Formation with LLM Agents

🔥 What happened NVIDIA researchers unveiled FedReady, a system where bounded LLM agents handle federation formation for federated learning. Agents propose contracts and local code, while the runtime only accepts digest-verified artifacts. Across 39 simulated retinal sites, discovery hit 100% recall at 65% precision. 💡 Why it matters Until now, every FL study required manual site selection and preparation—a recurring bottleneck. FedReady removes all 17 false positives without losing a single eligible site, and its survival-curve deviation from manual reference is just 0.001133. That makes task-specific data prep before training actually scalable. ⚡ Our take Finally, someone tackles the unsexy part of FL: logistics. If you think federation is just aggregation, you've been ignoring site acquisition—FedReady might become the quiet production hero.