Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms.
Daning ChengShigang LiHanping ZhangFen XiaYunquan ZhangPublished in: IEEE Trans. Parallel Distributed Syst. (2021)
Keyphrases
- machine learning
- machine learning algorithms
- learning algorithm
- error bounds
- theoretical analysis
- computational cost
- worst case
- computationally efficient
- parallel implementations
- machine learning approaches
- synthetic datasets
- benchmark datasets
- reinforcement learning
- neural network
- significant improvement
- lower bound
- parallel processors
- data mining