Regression Market

Regression markets are emerging as a mechanism to incentivize data sharing for improved machine learning model training, addressing the challenge of data scarcity and siloed development. Current research focuses on designing market mechanisms that balance privacy concerns, data similarity effects, and the financial risks to participants, often employing Bayesian frameworks or novel utility-based models to achieve efficient price discovery and resource allocation. These markets offer a promising approach to enhance model accuracy and reduce the high cost of training large-scale models, with implications for various fields requiring robust predictive capabilities.