DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM.
Bao WangQuanquan GuMarch BoedihardjoFarzin BarekatStanley J. OsherPublished in: CoRR (2019)
Keyphrases
- optimization method
- privacy preserving
- privacy requirements
- differential privacy
- optimization algorithm
- optimization methods
- privacy preservation
- privacy preserving data mining
- genetic algorithm
- evolutionary algorithm
- differential evolution
- vertically partitioned data
- simulated annealing
- multi party
- particle swarm
- data privacy
- sensitive information
- data anonymization
- optimization procedure
- private information
- privacy protection
- nelder mead simplex
- naive bayesian classification
- secure multiparty computation
- preserving privacy
- horizontally partitioned data
- data perturbation
- private data
- metaheuristic
- privacy guarantees
- user privacy
- privacy sensitive
- privacy preserving classification
- multi objective
- partitioned data
- scalar product
- privacy preserving data mining algorithms
- record linkage
- data publishing
- horizontally partitioned
- cost function
- optimal solution
- privacy preserving association rule mining
- privacy issues
- neural network