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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
Agenda
Track View
4:00 PM
4:15 PM
Stage 1
Opening / Closing
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Musical Intro
4:15 PM
4:55 PM
Stage 1
Presentation
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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.

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Marco Capuccini
4:55 PM
5:00 PM
Stage 1
Opening / Closing
calendar
Q&A
5:00 PM
5:15 PM
Stage 1
1:1 networking
calendar
Networking
Event has finished
June 22, 4:00 PM, GMT
Online
Event has finished
June 22, 4:00 PM, GMT
Online