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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.
