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An Efficient and Secure Privacy-Preserving Federated Learning Framework Based on Multiplicative Double Privacy Masking

Cong Shen1,*, Wei Zhang1,2,*, Tanping Zhou1,2, Yiming Zhang1, Lingling Zhang3

1 College of Cryptography Engineering, Engineering University of PAP, Xi’an, 710086, China
2 Key Laboratory of People’s Armed Police for Cryptology and Information Security, Xi’an, 710086, China
3 College of Information Engineering, Engineering University of PAP, Xi’an, 710086, China

* Corresponding Authors: Cong Shen. Email: email; Wei Zhang. Email: email

TSP_CMC_54434.pdf

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