Federated Learning and Trusted Research Environments
In the first episode of Trusted Research Conversations, we sit down with Chong Shen Ng, Research Engineer at Flower Labs, to explore how federated learning is changing what's possible in health data research.
Flower is one of the most widely adopted open-source frameworks for federated AI, with users spanning Harvard, MIT, Cambridge, the NHS, and major pharmaceutical companies. Its core principle — bringing the model to the data, rather than the data to the model — makes it particularly well-suited to the governance and privacy requirements of health and life sciences research.
🔗 Flower - The friendly federated AI framework
🔗 Flower Hub - Flower Apps built by the community
🔗 Flower AI Summit 2026 - Our annual summit for federated and agentic AI