SSGD: A Safe and Efficient Method of Gradient Descent.
Jinhuan DuanXianxian LiShiqi GaoZili ZhongJinyan WangPublished in: Secur. Commun. Networks (2021)
Keyphrases
- experimental evaluation
- cost function
- significant improvement
- detection method
- objective function
- evaluation method
- synthetic data
- highly efficient
- dynamic programming
- classification method
- high efficiency
- similarity measure
- detection algorithm
- theoretical analysis
- mutual information
- classification accuracy
- computational cost
- data structure
- support vector machine svm
- support vector machine
- fully automatic
- computational complexity