Guaranteed Privacy of Distributed Nonconvex Optimization via Mixed-Monotone Functional Perturbations.
Mohammad KhajenejadSonia MartínezPublished in: IEEE Control. Syst. Lett. (2023)
Keyphrases
- optimization problems
- global optimization
- distributed systems
- nonlinear programming
- multi agent
- privacy preserving
- constrained optimization
- optimization algorithm
- distributed environment
- peer to peer
- distributed data
- private information
- sensitive information
- subgradient method
- lagrange multipliers
- security issues
- objective function
- boolean functions
- evolutionary algorithm
- optimization process
- personal information
- differential privacy
- linear program
- linear programming
- discrete optimization