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Chengliang Zhang
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Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning
Towards Efficient and Secure Large-Scale Systems for Distributed Machine Learning Training
BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud
Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training
Towards Dependency-Aware Cache Management for Data Analytics Applications
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving
Stay Fresh: Speculative Synchronization for Fast Distributed Machine Learning
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