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🌐 Federated Learning: Distributed Training Without Sharing Data

Watch client devices train a shared model locally and send only weight updates to a central server for averaging. Tune client count, local epochs, non-IID data skew and differential-privacy noise, and see convergence speed and communication cost respond live.

AI & Machine Learning3DAdvanced60 FPS

⚙ Under the hood

Three.jsAIFederated LearningDistributed SystemsPrivacyInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install