How the Cancer AI Alliance operationalizes secure, multi-site research with federated learning
We explore the federated learning components that help CAIA securely operationalize our multi-site AI training approach.
The role of data federation in cancer research: 4 Insights from the 2025 Deloitte AI Forum
In this blog post, we offer 4 takeaways from Pete Shimer and Brian M. Bot’s conversation at the 2025 Deloitte AI Forum on the Cancer AI Alliance’s data federation framework.
How the orchestration layer securely enables AI insights in a federated learning framework
In this post, we take a closer look at the technology (enabled by NVIDIA FLARE) that underlies CAIA’s secure orchestration layer.
Cancer AI Alliance unveils first collaborative AI platform for cancer research
Secure, scalable, multi-cloud platform using federated learning aims to accelerate cancer discoveries and treatments
How CAIA harnesses federated learning for secure collaboration
How can we train AI models on the collective knowledge of the nation's top cancer centers without exposing sensitive patient information?
CAIA’s solution is an AI training approach called federated learning.