On the Convergence of Decentralized Adaptive Gradient Methods.
Xiangyi ChenBelhal KarimiWeijie ZhaoPing LiPublished in: ACML (2022)
Keyphrases
- multi agent
- significant improvement
- machine learning methods
- optimization methods
- preprocessing
- qualitative and quantitative
- computational cost
- distributed systems
- gradient method
- convergence speed
- convergence rate
- computationally expensive
- benchmark datasets
- empirical studies
- database
- multi objective
- cooperative
- machine learning
- data sets