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Meng Hao

2 accepted papers

2023

GuardHFL: Privacy Guardian for Heterogeneous Federated Learning

ICML 2023poster

Heterogeneous federated learning (HFL) enables clients with different computation and communication capabilities to collaboratively train their own customized models via a query-response paradigm on auxiliary datasets. However, such a paradigm raises serious privacy concerns due to the leakage of hi…

Cited by 6SourcePDFScholar
2022

Iron: Private Inference on Transformers

NeurIPS 2022accept

We initiate the study of private inference on Transformer-based models in the client-server setting, where clients have private inputs and servers hold proprietary models. Our main contribution is to provide several new secure protocols for matrix multiplication and complex non-linear functions like…

Cited by 123SourcePDFScholar