Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms.
Canh T. DinhNguyen H. TranTuan Dung NguyenWei BaoAlbert Y. ZomayaBing Bing ZhouPublished in: ICPP (2020)
Keyphrases
- learning algorithm
- noise tolerant
- reinforcement learning
- knowledge acquisition
- learning process
- orders of magnitude
- computational cost
- online learning
- learning models
- learning problems
- theoretical analysis
- semi supervised
- computational complexity
- supervised learning
- computationally efficient
- significant improvement
- machine learning algorithms
- learning systems
- learning tasks
- automatically learned
- worst case
- genetic algorithm
- active learning
- digital libraries
- training data
- reinforcement learning methods