14–17 Oct 2019

Alex Ingerman
Product Manager, Google

Alex Ingerman is a product manager at Google AI, focusing on federated learning and other privacy-preserving technologies. His mission is to enable all ML practitioners to protect their users’ privacy by default. Previously, Alex worked on ML-as-a-service platforms for developers, web-scale search, content recommendation systems, and immersive data exploration and visualization. Alex lives in Seattle, where as a frequent bike and occasional kayak commuter, he has fully embraced the rain. Alex holds a BS in computer science and an MS in medical engineering.

Sessions

11:05–11:45 Wednesday, 16 October 2019

Location: Blenheim Room - Palace Suite

Federated learning introduction and examples with TensorFlow Federated

Implementing AI

Secondary topics: Deep Learning, Deep Learning tools, Ethics, Security, and Privacy, Machine Learning, Machine Learning tools, Mobile Computing, IoT, Edge

Alex Ingerman (Google)

Average rating:

(4.29, 7 ratings)

Federated learning is the approach of training ML models across many devices without collecting the data in a central location. Alex Ingerman explores learning concepts and the use cases for decentralized machine learning, drawing on Google's real-world deployments. You'll learn how to build your first federated models with the open source TensorFlow Federated. Read more.