Ivan Costa
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126
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Crypto×1
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2026
Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
This paper enhances Federated Learning privacy by integrating two key protection mechanisms—masking and RSA encapsulation—into Hybrid Homomorphic Encryption (HHE) to secure against malicious clients.
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Papers
cs.CRRecentMar 27, 2026
Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
Ivan Costa, Pedro Correia, Ivone Amorim, Eva Maia +1 more
This paper enhances Federated Learning privacy by integrating two key protection mechanisms—masking and RSA encapsulation—into Hybrid Homomorphic Encryption (HHE) to secure against malicious clients.
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