Mixture-of-prompt experts for federated sentiment classification under non-IID data
Federated learning (FL) enables collaborative text classification while preserving data privacy, yet its performance can be degraded under non-IID data. This challenge is particularly severe in natural language processing, where client data may differ in linguistic style, topic distribution, and label semantics. Recent...
Cheng-Ying Hsieh, Chun-Ming Yang, Xin Wang et al.
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