Markus Bujotzek, PhD student at the German Cancer Research Center, joins host Timothy to unpack the challenges and successes of deploying real-world federated learning in radiology. Learn how Markus and his team used the open-source Kaapana platform across six university hospitals to tackle organizational, legal, and infrastructure hurdles—and why their results prove that federated learning is more than just a research dream.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

In this episode, Dr. Oliver Saldanha of Cather Lab joins host Timothy to explore how swarm learning is transforming medical AI—from histopathology to global multi-center collaboration. Hear the story behind his landmark Nature paper, the technical breakthroughs in decentralized model training, and how his team is paving the way for real-world deployment of federated AI across the healthcare ecosystem.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

Listen to Dr Timothy Chou introduce us to the Distributed AI Podcast presented by BevelCloud.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

In this episode of the Distributed AI Podcast, host Timothy Chou sits down with Andrew Wheeler, Director of Hewlett Packard Labs, to explore the forefront of AI and distributed computing. They discuss HPE’s advancements in AI supercomputing, distributed AI workflows, and the transformative potential of Swarm Learning in industries like healthcare. Andrew shares insights into Hewlett Packard Labs’ focus areas, including energy-efficient architectures, quantum computing integration, and AI’s role across edge-to-cloud environments. Perfect for tech enthusiasts, industry professionals, and students, this conversation reveals how Hewlett Packard Labs is shaping the future of innovation.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

Our guest Hina Dixit, co-founder and CEO of Decomp Compute, discusses her journey from leading investments at Microsoft’s M12 and Samsung Next to founding a company that aims to revolutionize AI infrastructure. Hina shares insights into the challenges of heterogeneity in AI compute, the inspiration behind her patented fine-tuning technique LaserTune, and her vision for empowering businesses to build personalized, scalable AI solutions. Tune in to explore the future of AI democratization, from technical innovation to the intricacies of go-to-market strategies.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

In this episode of the Distributed AI Podcast, Timothy Chou sits down with Dr. Berivan Isik, a recent Ph.D. graduate from Stanford University and a research scientist at Google. Dr. Isik shares her journey from Turkey to Stanford, her pioneering work on federated learning, and her focus on efficient and trustworthy AI. The conversation delves into her Ph.D. thesis on improving communication efficiency in federated learning, her innovative approaches to model sparsification and quantization, and her current work at Google Research. This episode offers valuable insights into the challenges and opportunities in distributed learning and its transformative potential across industries.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

In this episode of the Distributed AI Podcast, Timothy Chou sits down with Matt Siegel, Co-Founder of BitFount and former leader of the Private Federated Learning team at Apple. Together, they explore the transformative power of Federated Learning, its role in preserving data privacy, and its applications across industries like healthcare and life sciences. Matt shares insights into his journey from academia to Apple, the challenges of deploying AI models in real-world settings, and the vision behind BitFount's mission to democratize access to data. This engaging discussion highlights the promise of distributed AI to drive collaboration, innovation, and meaningful change while safeguarding user privacy. Perfect for AI enthusiasts, professionals, and students eager to learn about cutting-edge advancements in AI and data science.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

In this insightful episode of the dAI Podcast, host Timothy Chou interviews Hugo Song, Product Manager at Google Research, to discuss the transformative power of Federated Learning and its role in advancing privacy and utility in machine learning. Hugo shares his journey from programming with Visual Basic in high school to working on cutting-edge AI technologies at Google. The conversation delves into the challenges of balancing data privacy with model performance, the application of Federated Learning in products like Gboard, and the evolving landscape of AI inferencing. Hugo also offers valuable advice for students and professionals looking to enter the world of machine learning and AI privacy. A must-listen for anyone passionate about the future of decentralized AI and data privacy.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

Our guest Dr. Nic Lane, co-founder of Flower Labs and professor at Cambridge, discusses the growing role of Federated learning in AI. He explains how distributed AI can unlock vast amounts of data while ensuring privacy, and how it will play a critical role in scaling AI models across industries such as healthcare and finance.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

Our guest Prashant Shah, Chief Technology Officer of Federated Machine Learning at Intel, discusses the transformative power of Federated learning and confidential computing in healthcare. He explores how these technologies enable secure collaboration on sensitive healthcare data, driving innovation while ensuring patient privacy.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.