Compression-Based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games.
Wei HuoXiaomeng ChenKemi DingSubhrakanti DeyLing ShiPublished in: IEEE Control. Syst. Lett. (2024)
Keyphrases
- nash equilibrium
- privacy preservation
- game theory
- nash equilibria
- privacy preserving
- game theoretic
- solution concepts
- mixed strategy
- data privacy
- pure strategy
- fictitious play
- stochastic games
- privacy preserving data mining
- data mining
- stackelberg game
- distributed data
- repeated games
- sensitive information
- cooperative
- differential privacy
- privacy protection
- private information
- worst case
- multi agent
- regret minimization
- data quality
- pure nash equilibria
- equilibrium strategies
- cooperative games
- sensitive data
- pure nash equilibrium
- imperfect information
- resource allocation
- multi agent systems
- reinforcement learning