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cs.DC2025
Reliable and Resilient Collective Communication Library for LLM Training and Serving
Wei Wang, Nengneng Yu, Sixian Xiong +1
Modern ML training and inference now span tens to tens of thousands of GPUs, where network faults can waste 10--15\% of GPU hours due to slow recovery. Common network errors and li…
cs.LG2025
AutoTailor: Automatic and Efficient Adaptive Model Deployment for Diverse Edge Devices
Mengyang Liu, Chenyu Lu, Haodong Tian +7
On-device machine learning (ML) has become a fundamental component of emerging mobile applications. Adaptive model deployment delivers efficient inference for heterogeneous device…
cs.DC2025★ 1 cited
Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing
Mengfan Liu, Wei Wang, Chuan Wu
With the advancement of serverless computing, running machine learning (ML) inference services over a serverless platform has been advocated, given its labor-free scalability and c…