activity
20232025
most citedFedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing math.OCShow all

1 paper · 1 filter

math.OC2024

Local Linear Convergence of Infeasible Optimization with Orthogonal Constraints

Youbang Sun, Shixiang Chen, Alfredo Garcia +1

Many classical and modern machine learning algorithms require solving optimization tasks under orthogonality constraints. Solving these tasks with feasible methods requires a gradi…