Forget-svgd: Particle-based bayesian federated unlearning

J Gong, J Kang, O Simeone… - 2022 IEEE Data Science …, 2022 - ieeexplore.ieee.org
Variational particle-based Bayesian learning methods have the advantage of not being
limited by the bias affecting more conventional parametric techniques. This paper proposes …
被引用次数：26 相关文章

Forget-SVGD: Particle-Based Bayesian Federated Unlearning

J Gong, J Kang, O Simeone… - 2022 IEEE Data Science …, 2022 - researchwith.njit.edu
Variational particle-based Bayesian learning methods have the advantage of not being
limited by the bias affecting more conventional parametric techniques. This paper proposes …

Forget-SVGD: Particle-Based Bayesian Federated Unlearning

J Gong, J Kang, O Simeone… - 2022 IEEE Data Science …, 2022 - pure.kaist.ac.kr
Variational particle-based Bayesian learning methods have the advantage of not being
limited by the bias affecting more conventional parametric techniques. This paper proposes …

Forget-SVGD: Particle-Based Bayesian Federated Unlearning

J Gong, O Simeone, R Kassab, J Kang - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Variational particle-based Bayesian learning methods have the advantage of not being
limited by the bias affecting more conventional parametric techniques. This paper proposes …

Forget-SVGD: Particle-Based Bayesian Federated Unlearning

J Gong, J Kang, O Simeone… - 2022 IEEE Data Science …, 2022 - koasas.kaist.ac.kr
Variational particle-based Bayesian learning methods have the advantage of not being
limited by the bias affecting more conventional parametric techniques. This paper proposes …

Forget-SVGD: Particle-Based Bayesian Federated Unlearning

J Gong, O Simeone, R Kassab, J Kang - arXiv preprint arXiv:2111.12056, 2021 - arxiv.org
Variational particle-based Bayesian learning methods have the advantage of not being
limited by the bias affecting more conventional parametric techniques. This paper proposes …

Forget-SVGD: Particle-Based Bayesian Federated Unlearning

J Gong, J Kang, O Simeone… - 2022 IEEE Data Science …, 2022 - kclpure.kcl.ac.uk
Variational particle-based Bayesian learning methods have the advantage of not being
limited by the bias affecting more conventional parametric techniques. This paper proposes …