Privacy-Preserving Federated Primal-Dual Learning for Non-Convex Problems With Non-Smooth Regularization.
Yiwei LiChien-Wei HuangShuai WangChong-Yung ChiTony Q. S. QuekPublished in: MLSP (2023)
Keyphrases
- privacy preserving
- primal dual
- solving problems
- convex programming
- convex optimization problems
- convex optimization
- linear programming
- semidefinite programming
- privacy preserving data mining
- privacy preservation
- linear programming problems
- convex functions
- learning problems
- reinforcement learning
- variational inequalities
- private information
- interior point methods
- multi party
- privacy concerns
- saddle point
- affine scaling