12 citations · 21 across the 6 of their papers we have counts for
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cs.DC2026
Coral: Cost-Efficient Multi-LLM Serving over Heterogeneous Cloud GPUs
Yixuan Mei, Zikun Li, Zixuan Chen +5
The landscape of large language models (LLMs) has become increasingly fragmented, with no single model dominating the field. Meanwhile, cloud providers offer a diverse array of mid…
cs.DC2023★ 5 cited
OSP: Boosting Distributed Model Training with 2-stage Synchronization
Zixuan Chen, Lei Shi, Xuandong Liu +3
Distributed deep learning (DDL) is a promising research area, which aims to increase the efficiency of training deep learning tasks with large size of datasets and models. As the c…
cs.DC2023★ 12 cited
Boosting Distributed Machine Learning Training Through Loss-tolerant Transmission Protocol
Zixuan Chen, Lei Shi, Xuandong Liu +3
Distributed Machine Learning (DML) systems are utilized to enhance the speed of model training in data centers (DCs) and edge nodes. The Parameter Server (PS) communication archite…