2 citations · 2 across the 1 of their papers we have counts for
2 papers
math.OC2023★ 2 cited
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Feihu Huang, Chunyu Xuan, Xinrui Wang +2
Minimax optimization recently is widely applied in many machine learning tasks such as generative adversarial networks, robust learning and reinforcement learning. In the paper, we…
cs.LG2022
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization
Feihu Huang
Federated Learning is a popular distributed learning paradigm in machine learning. Meanwhile, composition optimization is an effective hierarchical learning model, which appears in…