FedTA freezes a pre-trained ViT and trains small tail anchors to keep class features in place, reducing forgetting in federated continual learning.
Fed- prok: Trustworthy federated class-incremental learning via prototypical feature knowledge transfer
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Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
FedTA freezes a pre-trained ViT and trains small tail anchors to keep class features in place, reducing forgetting in federated continual learning.