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Blockchain based auction with deep learning

Auctions are a common approach for allocating scarce resources, e.g., for wireless spectrum auction or government tender allocation. However, a centralized authority is typically required to carry out the auction, and such auctioneers can be expensive to hire and may potentially be malicious. Moreover, the second price auction does not provide revenue maximization guarantees. In this demonstration, we propose a blockchain-based decentralized platform that allows for auctions to be conducted in a fair and transparent manner. The winner of an auction is determined by a deep learning model which optimizes for seller revenue in a forward auction and buyer cost in a reverse auction. This video is uploaded as a submission for IJCAI 2022 demonstrations track.