ClusterChain: Decentralized and Trustworthy Clustering Over Blockchain
Khenfouci Yamina, Challal Yacine, Leila Hamdad · 2021
Artificial Intelligence (AI) algorithms follow probabilistic models instead of deterministic ones, therefore the results produced by the AI algorithms may fail occasionally. This represents a tremendous obstacle for large scale deployment of AI. Also, The centralized AI can lead to the possibility of data tempering and fraud. Moreover, the reliability and integrity of data sources are not guaranteed. This may lead to AI decision outcomes that can be highly erroneous and risky. In ordrer to address these issues, in this paper, we explore the integration benefit of AI and Blockchain technology and contribute to the construction of a reliable and immutable infrastructure for a trustworthy decentralized AI based on the Blockchain called ClusterChain. In ClusterChain, we implement a new decentralized consensus mechanism based on a clustering of data, in which multiple nodes in competition, run locally a clustering model and syncronise the best obtained solution which is saved in blocks resistant to the modification and could be traced back.