1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Client-Centric Federated Adaptive Optimization
Jianhui Sun, Xidong Wu, Heng Huang +1
Federated Learning (FL) is a distributed learning paradigm where clients collaboratively train a model while keeping their own data private. With an increasing scale of clients and…
cs.LG2022★ 1 cited
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization
Runxue Bao, Xidong Wu, Wenhan Xian +1
Distributed optimization has been widely used as one of the most efficient approaches for model training with massive samples. However, large-scale learning problems with both mass…