When Privacy Moves ML-Mediated Decisions On Device: Information and Incentive Misalignment in Auctions

Moving ML-mediated decision making onto privacy-preserving clients decentralises the economic decision along with the inference. Shared budget constraints then depend on information that cannot be globally current, creating an information-structure failure that conventional pacing is not designed to