5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Federated Multi-Level Optimization over Decentralized Networks
Shuoguang Yang, Xuezhou Zhang, Mengdi Wang
Multi-level optimization has gained increasing attention in recent years, as it provides a powerful framework for solving complex optimization problems that arise in many fields, s…
math.OC2018★ 5 cited
Multi-Level Stochastic Gradient Methods for Nested Composition Optimization
Shuoguang Yang, Mengdi Wang, Ethan X. Fang
Stochastic gradient methods are scalable for solving large-scale optimization problems that involve empirical expectations of loss functions. Existing results mainly apply to optim…