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.
Fednlp: Benchmarking federated learning methods for natural language processing tasks,
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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.