most citedJoint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data

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cs.CL2023

Federated Learning for Short Text Clustering

Mengling Hu, Chaochao Chen, Weiming Liu +2

Short text clustering has been popularly studied for its significance in mining valuable insights from many short texts. In this paper, we focus on the federated short text cluster…

cs.CL2023

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering

Xiaolin Zheng, Mengling Hu, Weiming Liu +2

Short text clustering is challenging since it takes imbalanced and noisy data as inputs. Existing approaches cannot solve this problem well, since (1) they are prone to obtain dege…