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cs.LG2026
Grouter: Decoupling Routing from Representation for Accelerated MoE Training
Yuqi Xu, Rizhen Hu, Zihan Liu +2
Traditional Mixture-of-Experts (MoE) training typically proceeds without any structural priors, effectively requiring the model to simultaneously train expert weights while searchi…
cs.LG2025
An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data
Jiaojiao Zhang, Yuqi Xu, Yizhao Fan +1
This work addresses the key challenges of applying federated learning to large-scale deep neural networks, particularly the issue of client drift due to data heterogeneity across c…