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…