Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning

no code implementations • 14 Jan 2021 • Kennedy Edemacu, Beakcheol Jang, Jong Wook Kim

Multi-party machine learning is a paradigm in which multiple participants collaboratively train a machine learning model to achieve a common learning objective without sharing their privately owned data.

BIG-bench Machine Learning Privacy Preserving