COFE
Comprehensive Open Federated Ecosystem (COFE) is an open ecosystem of tools and best practices distilled from years of industrial and academic research experience aiming to streamline the research and development of AI/ML models within a clinical setting.
How It Works
The COFE ecosystem includes:
- Integration of Hugging Face Hub to enable a one-click solution for model dissemination for users, which allows easier research collaboration in the community. Hugging Face Hub also allows for a streamlined approach to a GaNDLF Model Zoo, where users can select appropriate licensing terms (including non-commercial use) for their models..
- Full integration with the Medical Open Network for Artificial Intelligence (MONAI) enables developers to reuse engineering and research efforts from different groups while allowing a more cohesive pathway for code reproducibility.
- GaNDLF-Synth is a general-purpose synthesis extension of GaNDLF. It provides a vehicle for researchers to train multiple synthesis approaches (autoencoders, GANs, and diffusion) for the same task, thereby allowing them to quantify the efficacy of each approach for their task. Additionally, providing a robust abstraction layer allows algorithmic developers to have a common framework to distribute their methods, allowing easier benchmarking against other approaches.
- Privacy-enabled training across various tasks using Opacus. By integrating with Opacus, GaNDLF enables the training of models using differential privacy (DP). DP is one of the most widely used methods to incorporate privacy in trained models, and with GaNDLF, users can now tune their models for various DP settings to achieve the best model utility while training private models.
- Single-command model distribution through Hugging Face.
- MedPerf’s new web user interface makes evaluating and benchmarking healthcare AI models easier than ever. Designed for seamless interaction, it allows dataset owners and benchmark stakeholders to engage with the platform without requiring technical expertise. This update ensures that anyone involved in the process can contribute to benchmarking effortlessly.
Join Us
COFE addresses key challenges that the research community faces in the federated healthcare AI space through open community tools. As an organization, we strive to collect feedback from the broader healthcare research community to help build tools that advance AI/ML for everyone. If you want to participate in the MLCommons Medical AI working group, please join us here.