Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Alex Ingerman

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

11:00am–11:40am Thursday, March 28, 2019
The future of machine learning is decentralized
Data Science, Machine Learning & AI, Expo Hall
 Location: Expo Hall
Secondary topics:  Security and Privacy, Storage
Alex Ingerman (Google)
Average rating: ****.
(4.67, 12 ratings)
Federated learning is an approach for training ML models across a fleet of participating devices without collecting their data in a central location. Alex Ingerman offers an overview of federated learning, compares traditional and federated ML workflows, and explores the current and upcoming use cases for decentralized machine learning, with examples from Google's deployment of this technology. Read more.