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On the Insecurity of Peer-to-Peer Decentralized Machine Learning

Offered By: IEEE via YouTube

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IEEE Symposium on Security and Privacy Courses Cybersecurity Courses Peer-to-Peer Network Courses

Course Description

Overview

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Explore the security challenges of peer-to-peer decentralized machine learning in this 17-minute IEEE conference talk. Delve into the research findings presented by Dario Pasquini, Mathilde Raynal, and Carmela Troncoso from the SPRING Lab at EPFL, Switzerland. Gain insights into the potential vulnerabilities and risks associated with this emerging field of machine learning, and understand the implications for future developments in decentralized AI systems.

Syllabus

On the (In)security of Peer-to-Peer Decentralized Machine Learning


Taught by

IEEE Symposium on Security and Privacy

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