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Arxiv
2d
149
Image Credit: Arxiv
Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning
- Federated Class Incremental Learning (FCIL) involves processing increasing tasks across multiple clients collaboratively.
- A new method called FedCBDR has been proposed to address class imbalance issues in data replay for FCIL.
- FedCBDR utilizes global coordination for memory construction and adjusts the learning objective to handle imbalances.
- Experimental results show that FedCBDR improves class-wise sampling and generalization, outperforming existing methods by 2%-15% in Top-1 accuracy.
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