Coupling public and private gradient provably helps optimization.
Ruixuan LiuZhiqi BuYu-Xiang WangSheng ZhaGeorge KarypisPublished in: CoRR (2023)
Keyphrases
- global optimization
- privacy preserving
- optimization algorithm
- optimization process
- steepest descent method
- public private
- neural network
- parametric optimization
- database systems
- optimization model
- databases
- reinforcement learning
- gradient orientation
- gradient direction
- evolution strategy
- optimization procedure
- step size
- machine learning
- optimization method
- artificial intelligence
- optimization problems
- evolutionary algorithm