Welcome and Introduction to Federated Learning
Peter Kairouz
Peter Kairouz is a research scientist at Google, where he focuses on federated learning research and privacy-preserving technologies. Before joining Google, he was a Postdoctoral Research Fellow at Stanford University. He received his Ph.D. in electrical and computer engineering from the University of Illinois at Urbana-Champaign (UIUC).
Krzysztof Ostrowski
Krzysztof Ostrowski is a research scientist at Google, where he is leading the TensorFlow Federated team. Before joining Google, he did his Ph.D. and postdoc in distributed systems and programming languages at Cornell University.
Introduction to Federated Learning and Analytics with TFF
Nova Fallen
Nova is a software engineer working on Federated Learning and Analytics platform infrastructure at Google, building services that carry out privacy preserving machine learning and analytics algorithms at scale. Previously, she worked on the Google Cloud BigQuery data warehouse. She graduated from the University of Pennsylvania with an M.S.E. in Computer Science.
Emily Glanz
Emily Glanz is an engineer on Google's federated learning and analytics team, building the infrastructure and APIs to deploy federated computations to production platforms. Prior to Google, she received her B.S. in electrical engineering from the University of Iowa.
TFF for Federated Learning Research
Weikang Song
Weikang Song works in Google Research on Federated Learning and Analytics Platform, including building infrastructures and APIs to deploy Federated Learning computations to production platforms as well as testing and validation of Federated Learning platforms. His research interests include computer vision, machine learning and optimization. Prior to Google, he received a M.S. in computer science from Peking University.
Zachary Charles
Zachary Charles is a research scientist at Google. His research involves ensuring machine learning algorithms are efficient and robust, with a focus on federated optimization algorithms. Before joining Google, he received a Ph.D in applied mathematics from the University of Wisconsin-Madison.