Federated Learning Playground

1. 1Experiment with heterogeneous client data distributions
2. 2Adjust model hyperparameters and observe effects on client and global models
3. 3Explore different aggregation algorithms and their impact on model performance
4. 4Analyze real-time visualizations to understand client and global model behavior

Data scientists and machine learning engineers can benefit from this platform to understand and visualize federated learning concepts, while product managers can use it to inform decisions on model deployment and data privacy

💡 Federated Learning Playground allows users to experiment with and visualize federated learning concepts without requiring coding or system setup

🔍 Explore Federated Learning concepts in the browser with Federated Learning Playground!