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Unlocking the Future of AI with Federated Learning

Rajan_Panchanathan
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At Intel, we are proud to lead the way in the convergence of artificial intelligence (AI) and supporting open source for an innovative ecosystem. As part of our journey to provide customers a suite of trust and security solutions to protect enterprise assets, we’re excited to announce major milestones that highlight our commitment to Federated Learning and open-source frameworks.

 

OpenFL 1.6: Elevating Federated Learning

OpenFL*, a flexible, extensible framework for secure, federated AI, was originally developed by Intel. In 2023, Intel, VMware*, University of Pennsylvania, and Flower Labs* established OpenFL under the Linux* Foundation’ s LF AI and Data project. The OpenFL team launched the release of OpenFL 1.6. This version enhances the developer experience with streamlined APIs and new examples for federated evaluation and fine-tuning of large language models (LLMs). OpenFL 1.6 empowers organizations to train machine learning models on sensitive data while maintaining security. Get the latest version from the GitHub repository or visit the github.io documentation site for more information.

 

Revolutionizing Drug Discovery: How Federated Learning is Shaping the Future of Pharma

Our latest InTechnology podcast session has industry experts diving into the transformative power of federated leaning in drug discovery. Join Abhishek Pandey from AbbVie* and Prashant Shah from Intel as they discuss how this innovative AI technology is accelerating breakthroughs in drug development. Watch the full podcast video to learn about AI being leveraged to unlock new possibilities for the future of medicine.

 

Federated Learning for Healthcare at MICCAI 2024

Intel along with research partners from Indiana University and MLCommons* conducted the COFE tutorial at MICCAI 2024 to show how federated learning can improve model training across diverse patient data. COFE (Comprehensive Federated Ecosystem) is an open ecosystem of tools that aims to streamline the research and development of AI/ML models within the clinical setting. COFE was used to construct one of the largest real-world federations, with a network of 71 healthcare institutions around the world, the Federated Tumor Segmentation (FeTS) initiative. One of the key components of COFE is the cutting-edge OpenFL initiative.

 

Join the Conversation!

Stay connected and share your thoughts as we continue to unlock the potential of AI while increasingly safeguarding privacy!

 

Rajan Panchanathan is Head of Product, Intel Trust Services

The views and opinions expressed are those of the speakers and do not necessarily reflect the official position of Intel.