Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis.
Dachao LinYuze HanHaishan YeZhihua ZhangPublished in: CoRR (2023)
Keyphrases
- optimization problems
- learning algorithm
- discrete optimization
- stochastic search
- peer to peer
- significant improvement
- cooperative
- similarity measure
- neural network
- monte carlo sampling
- stochastic approximation
- worst case
- computational complexity
- statistical analysis
- computationally efficient
- theoretical analysis
- global optimization
- stochastic optimization
- distributed computation
- distributed constraint optimization
- evolution strategy
- space complexity
- optimization methods
- semantic similarity
- optimization method
- euclidean distance
- benchmark datasets
- knn
- computational cost
- data analysis