Experiment Tracking

FLARE seamlessly integrates with leading experiment tracking systems—MLflow, Weights & Biases, and TensorBoard—to facilitate comprehensive monitoring of metrics.

You can choose between decentralized and centralized tracking configurations:

• Decentralized tracking: Each client manages its own metrics and experiment tracking server locally, maintaining training metric privacy. However, this setup limits the ability to compare data across different sites.

• Centralized tracking: All metrics are streamed to a central FL server, which then pushes the data to a selected tracking system. This setup supports effective cross-site metric comparisons

We provide solutions for different client execution types. For the Client API, use the corresponding experiment tracking APIs. For Executors or Learners, use the experiment tracking LogWriters.

• Experiment Tracking APIs
• Experiment Tracking Log Writer