Local differentially private federated learning with homomorphic encryption

Jianzhe Zhao; Chenxi Huang; Wenji Wang; Rulin Xie; Rongrong Dong; Stan Matwin

doi:10.1007/s11227-023-05378-x

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Local differentially private federated learning with homomorphic encryption

Jianzhe Zhao Chenxi Huang Wenji Wang Rulin Xie Rongrong Dong Stan Matwin

Year: 2023 Journal: The Journal of Supercomputing Vol: 79 (17)Pages: 19365-19395 Publisher: Springer Science+Business Media

DOI: 10.1007/s11227-023-05378-x

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Keywords:

Homomorphic encryption Computer science Differential privacy Shuffling MNIST database Inference Encryption Reduction (mathematics) Federated learning Data mining Machine learning Artificial intelligence Theoretical computer science Computer security Deep learning

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Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Cryptography and Data Security

Physical Sciences → Computer Science → Artificial Intelligence

Stochastic Gradient Optimization Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Local differentially private federated learning with homomorphic encryption

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