Bringing Flower to Production: Duality Adds Native Support for the Popular Federated Learning Framework
Blog post from Duality
As federated learning evolves from research to real-world applications, the need for interoperability has become vital, prompting organizations to use open-source frameworks like Flower, known for its simplicity and flexibility. However, challenges arise when operationalizing these workloads securely at scale. Duality addresses this issue by integrating native support for Flower within its platform, allowing organizations to transition their Flower-based federated learning code into a secure, production-ready environment without rewriting it. This integration combines Duality's enterprise-grade features such as governance, policy control, privacy-enhancing technologies, scalable orchestration, and compliance with Flower's developer-friendly framework, ensuring that sensitive data remains protected while facilitating a seamless path from research to deployment. Duality serves as a bridge between research-focused frameworks like Flower and enterprise-ready systems like NVIDIA FLARE, unifying governance and policy enforcement across federated learning ecosystems. This development enables organizations to achieve both open-source agility and enterprise compliance, thereby accelerating the journey from conceptual models to scalable, secure deployment.
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