Distributed Differentially Private Ranking Aggregation

Understand

Ranking aggregation is commonly adopted in cooperative decision-making to assist in combining multiple rankings into a single representative.

• To protect the actual ranking of each individual, some privacy-preserving strategies, such as differential privacy, are often used.
• This, however, does not consider the scenario where the curator, who collects all rankings from individuals, is untrustworthy.
• This paper proposed a mechanism to solve the above situation using the distribute differential privacy framework.