Developed comprehensive publication documentation for equitable federated learning in medical image segmentation within the NVIDIA/NVFlare repository. Focused on clarifying the contributions of FedNCA to federated learning workflows, the work emphasized transparency, reproducibility, and alignment with governance standards in clinical imaging. Leveraged Markdown to produce clear, accessible documentation that accelerates onboarding and facilitates collaboration across research and engineering teams. Applied expertise in federated learning, medical image processing, and research to ensure the documentation directly supports production and governance workflows. This contribution enabled quicker adoption of equitable federated learning practices and improved knowledge transfer for medical imaging projects within the organization.