Open Source Summit North America 2023

OpenFL is a Python 3 framework for Federated Learning. Designed to be flexible, extensible and easily learnable tool for data scientists is a community supported project that enables organizations to collaboratively train a model without sharing sensitive information, originally developed by Intel Labs and the Intel Internet of Things Group. The team would like to encourage any contributions, and aims to be community-driven. It employs narrow interfaces and allows running all the processes within Trusted Execution Environments (TEE) to provide confidentiality of data and models, integrity of computation, and enable attestation of compute resources. To protect information while still leveraging ML models to automate scan analysis, Intel Labs and UPenn used data from over 71 medical institutions to apply and test the efficacy of federated learning for brain tumor edge detection. https://d1io3yog0oux5.cloudfront.net/_49fa703c82f3582cf6fc2f8361247b8e/intel/news/2022-12-05_Intel_and_Penn_Medicine_Announce_Results_of_1593.pdf With FL hardware and software, sensitive data can be secured at the source, while the AI model still benefits from a larger data set. Learn how you can adopt, contribute and secure federated learning.