STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.
Prashant KhanduriPranay SharmaHaibo YangMingyi HongJia LiuKetan RajawatPramod K. VarshneyPublished in: NeurIPS (2021)
Keyphrases
- learning algorithm
- theoretical analysis
- experimental evaluation
- segmentation algorithm
- high accuracy
- computational cost
- learning speed
- learning rules
- recognition algorithm
- learning tasks
- times faster
- active learning
- reinforcement learning
- preprocessing
- significant improvement
- probabilistic model
- supervised learning
- dynamic programming
- learning process
- version space
- optimal solution
- monte carlo
- computational complexity
- learning problems
- neural network
- incremental learning
- convergence rate
- search algorithm
- detection algorithm
- search space
- expectation maximization
- particle swarm optimization
- worst case