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FLOps with Scaleout's Open-core Platform

Federated machine learning promises to overcome emerging privacy challenges. Hence, algorithmic aspects of the topic have gained popularity in the scientific literature. However, fundamental aspects such as scalability, robustness, security, and performance in a geographically-distributed setting remain relatively unexplored.

At Scaleout Systems, they are developing an open-core platform for federated machine learning operations that aims at bridging the gap between the scientific literature and real-world deployments. The aim of this talk is to share challenges and experiences in their development journey.

Speakers
Marco Capuccini
Marco Capuccini
Lead Machine Learning Engineer @ Scaleout Systems
Marco Capuccini
Marco Capuccini
Lead Machine Learning Engineer @ Scaleout Systems
Agenda
4:00 PM
4:15 PM
Opening / Closing

Musical Intro

4:15 PM
4:55 PM
Presentation

FLOps with Scaleout's Open-core Platform

Federated machine learning promises to overcome emerging privacy challenges. Hence, algorithmic aspects of the topic have gained popularity in the scientific literature. However, fundamental aspects such as scalability, robustness, security, and performance in a geographically-distributed setting remain relatively unexplored.

At Scaleout Systems, they are developing an open-core platform for federated machine learning operations that aims at bridging the gap between the scientific literature and real-world deployments. The aim of this talk is to share challenges and experiences in their development journey.

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Marco Capuccini
4:55 PM
5:00 PM
Opening / Closing

Q&A

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

Networking

Event has finished
June 22, 4:00 PM, GMT
Online
Hosted by
MLOps Community
MLOps Community
Event has finished
June 22, 4:00 PM, GMT
Online
Hosted by
MLOps Community
MLOps Community