Publications

Towards Efficient and Secure Large-Scale Systems for Distributed Machine Learning Training

Chengliang Zhang

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Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning

Chengliang Zhang, Junzhe Xia, Baichen Yang, Huangcheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan

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BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning

Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu

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Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud

Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan

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Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training

Jun Yi, Chengliang Zhang, Wei Wang, Cheng Li, Feng Yan

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Towards Dependency-Aware Cache Management for Data Analytics Applications

Yinghao Yu, Chengliang Zhang, Wei Wang, Jun Zhang, Khaled Ben Letaief

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MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving

Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan

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Stay Fresh: Speculative Synchronization for Fast Distributed Machine Learning

Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan

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