Bounded-Loss Private Prediction Markets

Rafael Frongillo, Bo Waggoner

Neural Information Processing Systems 

Prior work has investigated variations of prediction markets that preserve participants' (differential) privacy, which formed the basis of useful mechanisms for purchasing data for machine learning objectives. Such markets required potentially unlimited financial subsidy, however, making them impractical.

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