PDS²: A user-centered decentralized marketplace for privacy preserving data processing

Abstract

We envision PDS 2 , a decentralized data marketplace in which consumers submit their tasks to be run within the platform, on the data of willing providers. The goal of PDS 2 is to ensure that users maintain full control on their data and do not compromise their privacy, while being rewarded for the value that their data generates. In order to achieve this, our marketplace architecture employs blockchain technology, privacypreserving computation and decentralized machine learning.We then compare different potential solutions and identify the Ethereum blockchain, trusted execution environments and gossip learning as the most suitable for the implementation of PDS 2 . We also discuss the main open challenges that are left to tackle and possible directions for future work.