During this workshop, we will guide you through a typical workflow for establishing a cross-silo ML federation within an enterprise. Additionally, we will provide an in-depth exploration of the unique capabilities of Scaleout Studio and how it seamlessly integrates with MLOps workflows.
Here are the workshop details:
- Date: December 14
- Time: 10:00 - 11:30 CEST
- Who should attend: Data Scientists, ML engineers (limited to a maximum of 20 attendees on a first-come, first-serve basis)
What is it:
- 1.5-hour, online workshop focused on federated machine learning
- Step-by-step demonstration of setting up federated ML using Scaleout technology
Optional hands-on participation: Attendees are welcome to join the federation by setting up a client on their own computers during the workshop
10:00 - Introduction: Federated machine learning (FL)
10:10 - Overview of Scaleout Studio and its capabilities
10:25 - Try-it-yourself use case: Cross-Silo implementation
11:15 - Q&A session (optional for participants who wish to stay in the call)
See you soon!
Join the federation by setting up a client on your own computer during workshop. This is voluntary.
Prerequisites for technical participation includes being familiarised with basic terminal commands by following instructions. To be able to join as a federated client you will need a local environment including Docker and Git.
Please add a message in the Sign up form if you wish to participate as a federated client in the practical segment of the workshop.
Workshop limit is 20 attendees. This workshop is open to all Scaleout partners, prospects and customers. For a private workshop please add a note when signing up.