Originally published at: Building Federated Multimodal AI Workflows with NVIDIA FLARE | NVIDIA Technical Blog
Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however, the data needed to adapt these models may be distributed across institutions or organizations that cannot centralize their raw records. Federated learning provides a way to coordinate training across these data-local sites. For VLMs, the challenge…