Federated Learning from Simulation to Production with NVIDIA FLARE and MONAI FL

, Technical Marketing Engineer, NVIDIA
, Technical Marketing Engineer, NVIDIA

Federated learning has emerged as a promising solution to the problem of data privacy and locality in training robust AI models. By enabling distributed model training without data sharing, federated learning allows researchers and data scientists to train generalizable models across diverse, distributed datasets while maintaining data privacy. We'll introduce the NVIDIA FLARE platform for federated learning and its communication model and deployment architecture, highlight tools for developing federated learning workflows, and outline the journey from development to production deployment. Hands-on tutorials will cover FLARE application development with the FL Simulator and distributed deployment of federated learning workflows with the FLARE Dashboard. We'll also cover MONAI FL integration, showing streamlined federated training of medical imaging models based on the MONAI Bundle model format. 

 

Prerequisite(s):  

  • Familiarity with Python; familiarity with ML and DL model development. 

 

Please disregard any reference to "Event Code" for access to training materials. "Event Codes" are only valid during the original live session. Explore more training options offered by the NVIDIA Deep Learning Institute (DLI). Choose from an extensive catalog of self-paced, online courses or instructor-led virtual workshops to help you develop key skills in AI, HPC, graphics & simulation, and more.

活动: GTC Digital Spring
日期: March 2023
行业: 所有行业
话题: Deep Learning - Training
级别: 中级技术
语言: 英语
话题: Deep Learning
所在地: