FedMaestro
Federated learning orchestration, secure, collaborative model training without exchanging raw data.
- Category
- Federated learning platform
- Sector
- Cross-sector
- Status
- Deployed in pilots
- Readiness
- TRL 7 of 9
FedMaestro is a comprehensive Federated Learning orchestration platform that simplifies the deployment, management and monitoring of decentralised AI workflows. It enables secure collaborative model training without exchanging raw data, supporting heterogeneous infrastructures across cloud, edge and IoT environments.
It provides experiment management, client orchestration, model aggregation, monitoring dashboards and integration with popular machine learning frameworks, making privacy-preserving AI accessible for both research and industrial applications.
What FedMaestro does.
01
Experiment management
Define, version and compare federated training runs.
02
Client orchestration
Register and coordinate participating clients across cloud, edge and IoT.
03
Model aggregation
Run aggregation strategies with secure aggregation and full traceability.
04
Monitoring dashboards
Observe health, progress and performance of every run.
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