2 papers
cs.LG2026
Subspace Optimization for Efficient Federated Learning under Heterogeneous Data
Shuchen Zhu, Zhengyang Huang, Yuqi Xu +1
Federated learning increasingly operates in a large-model regime where communication, memory, and computation are all scarce. Typically, non-IID client data induce drift that degra…
math.OC2025
Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold
Yilong Song, Peijin Li, Bin Gao +1
Optimization problems on the Stiefel manifold, ranging from principal component analysis to enhancing neural network robustness, are ubiquitous in machine learning. The Landing alg…