On Privacy-preserving Decentralized Optimization through Alternating Direction Method of Multipliers.
Hanshen XiaoYe YuSrini DevadasPublished in: CoRR (2019)
Keyphrases
- privacy preserving
- alternating direction method of multipliers
- convex optimization
- privacy preserving data mining
- total variation
- privacy preservation
- vertically partitioned data
- private information
- multi party
- data privacy
- matrix completion
- convex relaxation
- sensitive data
- privacy protection
- sensitive information
- optimization methods
- secure multiparty computation
- privacy concerns
- scalar product
- peer to peer
- privacy sensitive
- data perturbation
- high dimensional
- image denoising
- privacy requirements
- private data
- differential privacy
- linear combination
- high resolution
- data analysis
- horizontally partitioned data