Computing payoff allocations in the approximate core of linear programming games in a privacy-preserving manner.
George GilliamNelson A. UhanPublished in: Oper. Res. Lett. (2022)
Keyphrases
- privacy preserving
- linear programming
- game theory
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- nash equilibrium
- resource allocation
- solution concepts
- record linkage
- data privacy
- repeated games
- multi party
- private information
- privacy sensitive
- naive bayesian classification
- private data
- sensitive information
- privacy concerns
- differential privacy
- coalitional games
- horizontally partitioned
- nash equilibria
- privacy issues
- preserving privacy
- horizontally partitioned data
- privacy preserving association rule mining
- data perturbation
- privacy guarantees
- social welfare
- personal data
- privacy protection
- user privacy
- secure multiparty computation
- partitioned data
- third party