3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
A dual approach for federated learning
Zhenan Fan, Huang Fang, Michael P. Friedlander
We study the federated optimization problem from a dual perspective and propose a new algorithm termed federated dual coordinate descent (FedDCD), which is based on a type of coord…
math.OC2019★ 3 cited
Polar Alignment and Atomic Decomposition
Zhenan Fan, Halyun Jeong, Yifan Sun +1
Structured optimization uses a prescribed set of atoms to assemble a solution that fits a model to data. Polarity, which extends the familiar notion of orthogonality from linear se…
math.OC2019
Bundle methods for dual atomic pursuit
Zhenan Fan, Yifan Sun, Michael P. Friedlander
The aim of structured optimization is to assemble a solution, using a given set of (possibly uncountably infinite) atoms, to fit a model to data. A two-stage algorithm based on gau…