Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions.
T.-H. Hubert ChanHao XieMengshi ZhaoPublished in: CoRR (2023)
Keyphrases
- objective function
- convex optimization
- alternating direction method of multipliers
- convex functions
- quasiconvex
- optimization problems
- multi objective
- total variation
- personal information
- privacy preserving
- convex relaxation
- private information
- global optimum
- line search
- sensitive information
- newton raphson
- differential privacy
- privacy issues
- private data
- augmented lagrangian method
- privacy preserving data mining
- security issues
- privacy protection
- global optimality
- evolutionary algorithm
- privacy preservation
- convex hull
- constrained optimization
- risk minimization
- quadratic program
- multicriteria optimization
- convex sets
- privacy concerns
- globally optimal
- statistical databases
- optimal solution
- linear program
- privacy policies
- data privacy
- location privacy
- third party
- cost function
- data mining