2 papers
cs.LG2026
Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching
Xu Zhang, Xingyu Hou, Jiacheng Cheng +2
Personalized federated learning (PFL) is a promising paradigm for collaborative learning over distributed devices, where edge nodes collaboratively train personalized models withou…
cs.LG2025
Global Convergence Analysis of Vanilla Gradient Descent for Asymmetric Matrix Completion
Xu Zhang, Shuo Chen, Jinsheng Li +2
This paper investigates the asymmetric low-rank matrix completion problem, which can be formulated as an unconstrained non-convex optimization problem with a nonlinear least-square…