Distributed AI

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Distributed AI

BevelCloud

10 episodes

2 months ago

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 ...

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Episodes (10/10)

Distributed AI

E8: Dr. Oliver Saldanha on Swarm Learning and Decentralized AI in Medicine

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 heal...

4 months ago

19 minutes

Distributed AI

E9: Federated Learning in Practice: Markus Bujotzek on Real-World AI for Radiology

4 months ago

20 minutes

Distributed AI

An Introduction to the Distributed AI Podcast

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

9 months ago

2 minutes

Distributed AI

E7: Future of AI, Distributed Computing, and Innovation at Hewlett Packard Labs

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 ro...

9 months ago

22 minutes

Distributed AI

E4: Unlocking the Future of Distributed AI and Federated Learning

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 visio...

9 months ago

27 minutes

Distributed AI

E3: Federated Learning and Privacy in Machine Learning

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 Federate...

9 months ago

26 minutes

Distributed AI

E5: Efficient and Trustworthy 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, a...

9 months ago

23 minutes

Distributed AI

E6: Democratizing AI Infrastructure

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...

9 months ago

26 minutes

Distributed AI

E1: Protecting Privacy in AI: Prashant Shah on Confidential Computing and Federated Learning

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.

1 year ago

23 minutes

Distributed AI

E2: Scaling AI with Federated Learning: Insights from Dr. Nic Lane

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.

1 year ago

23 minutes