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.

Madhu Narayan 11/12/25 Madhu Narayan 11/12/25

A common format for federated learning: CAIA’s approach to data standardization

In this blog post, we take a look at CAIA’s data standardization process, and how we adhere to privacy, regulatory, ethical and legal guidelines.

Madhu Narayan 10/22/25 Madhu Narayan 10/22/25

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.

Madhu Narayan 10/1/25 Madhu Narayan 10/1/25

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

Madhu Narayan 8/27/25 Madhu Narayan 8/27/25

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.