Optimizing Privacy and Efficiency in Federated Learning: A Hybrid approach using Differential Privacy and Homomorphic Encryption

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dc.contributor.authorGajjar Himaniben
dc.date.accessioned2026-06-19T04:52:28Z
dc.date.issued2025-03
dc.identifier.citationGajjar, Himaniben. (2026). Optimizing Privacy and Efficiency in Federated Learning: A Hybrid approach using Differential Privacy and Homomorphic Encryption.
dc.identifier.urihttps://www.researchgate.net/publication/404931838_Optimizing_Privacy_and_Efficiency_in_Federated_Learning_A_Hybrid_approach_using_Differential_Privacy_and_Homomorphic_Encryption
dc.identifier.urihttp://160.160.1.15:4000/handle/123456789/420
dc.language.isoen
dc.publisherSEMCOM management & Technology Review Special Issue-Convergence International Conference,March-2025
dc.titleOptimizing Privacy and Efficiency in Federated Learning: A Hybrid approach using Differential Privacy and Homomorphic Encryption
dc.typeConference Paper

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