2023
DOI: 10.47667/ijpasr.v4i3.235
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Secure Federated Learning with a Homomorphic Encryption Model

Nadia Hussien,
Nadia Mahmood Hussien,
Saba Abdulbaqi Salman
et al.

Abstract: Federated learning (FL) offers collaborative machine learning across decentralized devices while safeguarding data privacy. However, data security and privacy remain key concerns. This paper introduces "Secure Federated Learning with a Homomorphic Encryption Model," addressing these challenges by integrating homomorphic encryption into FL. The model starts by initializing a global machine learning model and generating a homomorphic encryption key pair, with the public key shared among FL participants. Using th… Show more

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