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Update README.rst
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ahellander authored Jul 23, 2024
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Expand Up @@ -18,7 +18,7 @@ Our goal is to provide a federated learning framework that is both secure, scala

- **Secure by design.** FL clients do not need to open any ingress ports. Industry-standard communication protocols (gRPC) and token-based authentication and RBAC (Jason Web Tokens) provides flexible integration in a range of production environments.

- **ML-framework agnostic**. A black-box client-side design lets data scientists implement use-cases using their framework of choice.
- **ML-framework agnostic**. A black-box client-side architecture lets data scientists implement use-cases using their framework of choice.

- **Cloud native.** By following cloud native design principles, we ensure a wide range of deployment options including private cloud and on-premise infrastructure.

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