Press release
Intel's Transition of OpenFL Primes Growth of Confidential AI
LF AI & Data Foundation incubation project has support from Penn Medicine, VMware and Flower Labs SANTA CLARA, Calif.--(BUSINESS WIRE)-- What’s New: Today,
About this update from Intel Corporation
[{"type":"text","content":"\nLF AI & Data Foundation incubation project has support from Penn Medicine, VMware and Flower Labs\n\n SANTA CLARA, Calif.--(BUSINESS WIRE)--\nWhat’s New: Today, Intel announced that the LF AI & Data Foundation Technical Advisory Council accepted Open Federated Learning (OpenFL) as an incubation project to further drive collaboration, standardization and interoperability. OpenFL is an open source framework for a type of distributed AI referred to as federated learning (FL) that incorporates privacy-preserving features called confidential computing. It was developed and hosted by Intel to help data scientists address the challenge of maintaining data privacy while bringing together insights from many disparate, confidential or regulated data sets.\nThis press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20230309005307/en/Intel’s federated learning hardware and software address data privacy concerns, providing increased confidentiality and integrity for code and data using confidential computing. (Credit: Intel Corporation)\n“We are thrilled to welcome OpenFL to the LF AI & Data Foundation. This project's innovative approach to enabling organizations to collaboratively train machine learning models across multiple devices or data centers without the need to share raw data aligns perfectly with our mission to accelerate the growth and adoption of open source AI and data technologies. We look forward to collaborating with the talented individuals behind this project and helping to drive its success.”\n–Dr. Ibrahim Haddad, executive director, LF AI & Data Foundation\n\nWhy It Matters: Data scientists can use this distributed machine learning (ML) approach to enable organizations to collaborate on mutually beneficial analyses without exposing sensitive data or ML algorithms to other parties. Industries like healthcare, financial services, retail and manufacturing use FL to gain valuable insights from data in a way that securely connects multiple systems and data sets and removes the barriers preventing the aggregation of data for analysis.\n\nIntel was joined by Penn Medicine, VMware and Flower Labs in presenting OpenFL to the LF AI & Data Foundation. Representatives from these companies will join the foundation to form a technical steering committee for OpenFL that will foster a ven...