Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning

Yujun Shi, Jian Liang, Wenqing Zhang +2

Federated learning aims to train models collaboratively across different clients without the sharing of data for privacy considerations. However, one major challenge for this learn…