Summary of Wdmoe: Wireless Distributed Mixture Of Experts For Large Language Models, by Nan Xue et al.
WDMoE: Wireless Distributed Mixture of Experts for Large Language Modelsby Nan Xue, Yaping Sun, Zhiyong…
WDMoE: Wireless Distributed Mixture of Experts for Large Language Modelsby Nan Xue, Yaping Sun, Zhiyong…
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Expertsby Yen-Ting Lin, Chao-Han…
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregationby Ziwei Zhan, Wenkuan Zhao, Yuanqing…
HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inferenceby Peng Tang, Jiacheng Liu,…
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Modelsby Nam V.…
MoNTA: Accelerating Mixture-of-Experts Training with Network-Traffc-Aware Parallel Optimizationby Jingming Guo, Yan Liu, Yu Meng, Zhiwei…
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Mergingby Li Shen, Anke Tang,…
FinTeamExperts: Role Specialized MOEs For Financial Analysisby Yue Yu, Prayag TiwariFirst submitted to arxiv on:…
DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation for Unspervised Dimensionality Reductionby Zelin Zang, Yuhao Wang,…
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesisby Weikai Li, Ding Wang, Zijian Ding,…