Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Chris Wallace
Data Scientist, Cloudera

Website

Chris Wallace is a data scientist at Cloudera Fast Forward Labs, where he works on making breakthroughs in machine intelligence accessible and applicable in the “real world.” He has previous experience doing data science in organizations both large (the UK NHS) and small (as the first employee at a tech startup). Chris likes building data products and cares deeply about making technology work for people, not vice versa. He holds a PhD in particle physics from the University of Durham.

Sessions

17:25–18:05 Wednesday, 1 May 2019
Federated learning: Machine learning with privacy on the edge
Data Science, Machine Learning & AI
 Location: Capital Suite 14
Secondary topics:  Security and Privacy
Chris Wallace (Cloudera)
Average rating: *****
(5.00, 4 ratings)
Imagine building a model whose training data is collected on edge devices such as cell phones or sensors. Each device collects data unlike any other, and the data cannot leave the device because of privacy concerns or unreliable network access. This challenging situation is known as federated learning. Chris Wallace discusses the algorithmic solutions and the product opportunities. Read more.