Fully Homomorphic based Privacy-Preserving Distributed Expectation Maximization on Cloud

Author:

Alabdulatif AbdulatifORCID,Khalil IbrahimORCID,Zomaya Albert Y.ORCID,Tari ZahirORCID,Yi XunORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Cited by 8 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. A Survey on FPGA-based Accelerators for CKKS;2024 IEEE International Test Conference in Asia (ITC-Asia);2024-08-18

2. SVeriFL: Successive verifiable federated learning with privacy-preserving;Information Sciences;2023-04

3. Comparative evaluation of fully homomorphic encryption algorithms in cloud environment;International Journal of Electronic Security and Digital Forensics;2023

4. Adaptive Federated Learning for Non-Convex Optimization Problems in Edge Computing Environment;IEEE Transactions on Network Science and Engineering;2022-09-01

5. Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model Using Subspace Perturbation;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

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