Trustless AutoML for the Age of Internet of Things

Abstract

This paper introduces the concept of Trustless AutoML, and proposes a framework that combines AutoML techniques with blockchain to fully decentralize the design and training process of machine learning models. The goal is to introduce full transparency and trust in the model design pipeline to establish a root-of-trust.