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 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.

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