How to Incentivize Data-Driven Collaboration Among Competing Parties
Pablo Daniel Azar, Shafi Goldwasser, Sunoo Park · 2016
The availability of vast amounts of data is changing how we can make medical discoveries, predict global market trends, save energy, and develop new educational strategies. In certain settings such as Genome Wide Association Studies or deep learning, the sheer size of data (patient files or labeled examples) seems critical to making discoveries. When data is held distributed by many parties, as often is the case, they must share itly to reap its full benefits.