Data Market

Data markets facilitate the buying and selling of data, primarily to fuel machine learning model development. Current research emphasizes accurate data valuation, addressing challenges like quantifying the value of data distributions and incorporating uncertainty due to evolving datasets; techniques like Data Shapley, maximum mean discrepancy (MMD), and mechanisms based on the exponential mechanism are being explored for pricing and auction design. This field is crucial for fostering data sharing and innovation, particularly in addressing privacy concerns and ensuring fair compensation for data providers while promoting efficient data acquisition for machine learning applications.