Results (1)
Search Parameters:
Author/Affiliation: Brandon WetzelOpen AccessArticle
12 Pages, 1,683 KB 
Deploying Trusted and Immutable Predictive Models on a Public Blockchain Network
Abstract:
Machine learning-based predictive models often face challenges, particularly biases and a lack of trust in their predictions when deployed by individual agents. Establishing a robust deployment methodology that supports validating the accuracy and fairness of these models is a critical endeavor. In this paper, we introduce a novel approach to deploying predictive models, such as…
Read More(This article belongs to the SP16 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2024) & Section Interdisciplinary Applications of Computer Science (CSI))