Flame: Differentially private federated learning in the shuffle model

R Liu, Y Cao, H Chen, R Guo… - Proceedings of the AAAI …, 2021 - ojs.aaai.org
Federated Learning (FL) is a promising machine learning paradigm that enables the
analyzer to train a model without collecting users' raw data. To ensure users' privacy …

[PDF][PDF] FLAME: Differentially Private Federated Learning in the Shuffle Model

R Liu, Y Cao, H Chen, R Guo, M Yoshikawa - 2021 - scholar.archive.org
Federated Learning (FL) is a promising machine learning paradigm that enables the
analyzer to train a model without collecting users' raw data. To ensure users' privacy …

[PDF][PDF] FLAME: Differentially Private Federated Learning in the Shuffle Model

R Liu, Y Cao, H Chen, R Guo, M Yoshikawa - 2021 - researchgate.net
Federated Learning (FL) is a promising machine learning paradigm that enables the
analyzer to train a model without collecting users' raw data. To ensure users' privacy …

FLAME: Differentially Private Federated Learning in the Shuffle Model

R Liu, Y Cao, H Chen, R Guo… - Proceedings of the AAAI …, 2021 - cir.nii.ac.jp
抄録< jats: p> Federated Learning (FL) is a promising machine learning paradigm that
enables the analyzer to train a model without collecting users' raw data. To ensure users' …

FLAME: Differentially Private Federated Learning in the Shuffle Model

R Liu, Y Cao, H Chen, R Guo, M Yoshikawa - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Federated Learning (FL) is a promising machine learning paradigm that enables the
analyzer to train a model without collecting users' raw data. To ensure users' privacy …

FLAME: Differentially Private Federated Learning in the Shuffle Model

R Liu, Y Cao, H Chen, R Guo, M Yoshikawa - arXiv preprint arXiv …, 2020 - arxiv.org
Federated Learning (FL) is a promising machine learning paradigm that enables the
analyzer to train a model without collecting users' raw data. To ensure users' privacy …

[PDF][PDF] FLAME: Differentially Private Federated Learning in the Shuffle Model

R Liu, Y Cao, H Chen, R Guo, M Yoshikawa - 2021 - cdn.aaai.org
Federated Learning (FL) is a promising machine learning paradigm that enables the
analyzer to train a model without collecting users' raw data. To ensure users' privacy …