Federated Learning Research using NVIDIA Flare on AWS

Federated learning (FL) is an approach to machine learning (ML) where model training data is not stored in a central location and computation is distributed, enabling secure and privacy-preserving multi-party collaboration. FL can be used in healthcare to rapidly and securely develop new ML models from heterogeneous data sets and diverse sources, all while avoiding privacy and data ownership concerns. FL has been adopted for medical imagery research in radiology, radiation oncology, and medical oncology. In this webinar, we will present how to deploy an end-to-end FL solution using NVIDIA Federated Learning Application Runtime Environment (FLARE), an open-source Python SDK for collaborative computation on Amazon Web Services (AWS). We will demonstrate a use case for distributed model training for medical imaging artificial intelligence using MONAI—an open-source PyTorch-based framework—with FLARE. Learn more at: https://go.aws/3GkgNrL Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #AWS #AWSEvents