most citedFedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data

6 citations · 7 across the 2 of their papers we have counts for

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cs.CV2023★ 1 cited

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Yawen Cui, Wanxia Deng, Haoyu Chen +1

Given a model well-trained with a large-scale base dataset, Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples by a…