FDMia
FDMia, short for Federated Diffusion Model interoperability and accessibility, is a conceptual framework in the field of artificial intelligence designed to standardize, federate, and streamline diffusion-model workflows across organizations, devices, and platforms. It aims to enable sharing and reusing diffusion components while preserving data privacy and supporting scalable deployment.
The architecture centers on a modular diffusion engine, a component registry, interoperable model definitions, and a
Use cases include collaborative research benchmarking, rapid prototyping of diffusion-based applications, and deployment of image synthesis
Development and reception: The concept has appeared in academic and industry discussions as a potential ecosystem