Streamlined Federated ML

FEDn is an open-source, model-agnostic framework built for scalability from pseudo-distributed development to full-scale production. Its tiered architecture allows for efficient coordination and model aggregation across a large number of clients. Emphasizing security, FEDn ensures no exposure of client ingress ports. Notable features include real-time event logging and training progress tracking for comprehensive oversight.

Visit Scaleout GitHub for more information: github.com/scaleoutsystems/fedn

Studio offers a cloud-native solution for streamlined and secure federated machine learning, scalable to any size. It sets up essential infrastructure for a production-like environment, ensuring client authentication and secure encrypted communication between all services. Key features include visualizations and intuitive dashboards for real-time monitoring and evaluation of training progress. Available as both SaaS and an on-premises solution.

Visit Scaleout Studio for more information: studio.scaleoutsystems.com