Sparse personalized federated class-incremental learning

Youchao Liu, Dingjiang Huang

Abstract: Highlights•A real federated learning problem is presented and a solution is given.•Using expandable CIL models to resist catastrophic forgetting.•Utilizing DST strategy to alleviate the negative impact of data heterogeneity and over-parameterization.