Practical Multi-Key Homomorphic Encryption for More Flexible and Efficient Secure Federated Average Aggregation-Reference-Cited by-同舟云学术

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Practical Multi-Key Homomorphic Encryption for More Flexible and Efficient Secure Federated Average Aggregation

Published:2023-07-31 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Cyber Security and Resilience (CSR)
language:
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Author:

Pedrouzo-Ulloa Alberto¹,Boudguiga Aymen²,Chakraborty Olive²,Sirdey Renaud²,Stan Oana²,Zuber Martin²

Affiliation:

1. Universidade de Vigo,atlanTTic Research Center

2. CEA-List, Universite Paris-Saclay

Funder

European Regional Development Fund (FEDER) and Xunta de Galicia

FEDER

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10224900/10224823/10224979.pdf?arnumber=10224979

Reference17 articles.

1. (Leveled) Fully Homomorphic Encryption without Bootstrapping

2. Computing Blindfolded on Data Homomorphically Encrypted under Multiple Keys: A Survey

3. EMNIST: Extending MNIST to handwritten letters

4. Worst-case to average-case reductions for module lattices

5. Multiparty Homomorphic Encryption from Ring-Learning-with-Errors

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Privacy in Federated Learning: A Practical Assessment of Combined PETs in a Cross-Silo Setting;Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security;2024-06-24

2. Practical Multi-Key Homomorphic Encryption for More Flexible and Efficient Secure Federated Average Aggregation;2023 IEEE International Conference on Cyber Security and Resilience (CSR);2023-07-31

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