Pei-Yi Zeng

Dual Knowledge Distillation for Heterogeneous Federated Continual Learning

Federated Continual Learning (FCL) enables distributed clients to collaboratively learn a sequence of tasks while preserving data privacy and mitigating catastrophic forgetting. However, most existing FCL methods rely on the assumption that all clients share an identical model architecture, which is impractical in real...