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FLOps with Scaleout's Open-core Platform

Posted Jun 27
# FLOps
# Open-core Platform
# Scaleout Systems
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SPEAKER
Marco Capuccini
Marco Capuccini
Marco Capuccini
Lead Machine Learning Engineer @ Scaleout Systems

Marco's areas of expertise are Machine Learning, Cloud Computing, and Data Engineering. He has a master's in Bioinformatics and a Ph.D. in Scientific Computing with a focus on Large-Scale Machine Learning and Cloud.

Marco enjoys following the whole life cycle of a machine learning project from exploration and modeling to operations and large-scale deployments. In his free time, Marco enjoys listening to music and playing guitar.

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Marco's areas of expertise are Machine Learning, Cloud Computing, and Data Engineering. He has a master's in Bioinformatics and a Ph.D. in Scientific Computing with a focus on Large-Scale Machine Learning and Cloud.

Marco enjoys following the whole life cycle of a machine learning project from exploration and modeling to operations and large-scale deployments. In his free time, Marco enjoys listening to music and playing guitar.

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SUMMARY

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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