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From Intractable to Interactable: Unleashing Sensitive Datasets with Distributed Data Science
# Datasets
# Distributed Data Science
# Federated Machine Learning

Some of the most valuable data is also data that is not easily shared. Distributed data science is a new technique for overcoming this issue by leaving data ‘in place’; sending algorithms to the data. This enables data scientists to extract value from these datasets while ensuring strict privacy and security guarantees can be upheld.

In this talk, we’ll briefly introduce the fundamentals of distributed data science, including federated machine learning with additional privacy measures. We’ll then show how a new, easy-to-use platform can be used to easily train models at scale on sensitive datasets. We will also run through example experiments showing how without such approaches we simply cannot train ML models of sufficient quality.

Speakers
Blaise Thomson
Blaise Thomson
CEO and Founder @ Bitfount
Blaise Thomson
Blaise Thomson
CEO and Founder @ Bitfount
Agenda
4:00 PM
4:15 PM
Opening / Closing

Musical Intro

4:15 PM
4:55 PM
Presentation

From Intractable to Interactable: Unleashing Sensitive Datasets with Distributed Data Science

Some of the most valuable data is also data that is not easily shared. Distributed data science is a new technique for overcoming this issue by leaving data ‘in place’; sending algorithms to the data. This enables data scientists to extract value from these datasets while ensuring strict privacy and security guarantees can be upheld. In this talk, we’ll briefly introduce the fundamentals of distributed data science, including federated machine learning with additional privacy measures. We’ll then show how a new, easy-to-use platform can be used to easily train models at scale on sensitive datasets. We will also run through an example experiments showing how without such approaches we simply cannot train ML models of sufficient quality.

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Blaise Thomson
4:55 PM
5:00 PM
Opening / Closing

Q&A

5:00 PM
5:15 PM
1:1 networking

Networking

Event has finished
October 12, 4:00 PM, GMT
Online
Hosted by
MLOps Community
MLOps Community
Event has finished
October 12, 4:00 PM, GMT
Online
Hosted by
MLOps Community
MLOps Community