AdaFD uses loss-based client weighting and L2 distillation to improve federated text classification when clients hold data from different domains, outperforming existing methods in two settings.
Federated model decomposition with private vocabulary for text classification,
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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data
AdaFD uses loss-based client weighting and L2 distillation to improve federated text classification when clients hold data from different domains, outperforming existing methods in two settings.