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

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

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.