Decentralized Collaborative Learning with Probabilistic Data Protection. (arXiv:2208.10674v1 [cs.LG])

We discuss future directions of Blockchain as a collaborative value
co-creation platform, in which network participants can gain extra insights
that cannot be accessed when disconnected from the others. As such, we propose
a decentralized machine learning framework that is carefully designed to
respect the values of democracy, diversity, and privacy. Specifically, we
propose a federated multi-task learning framework that integrates a
privacy-preserving dynamic consensus algorithm. We show that a specific network
topology called the expander graph dramatically improves the …

data data protection decentralized lg protection