LDP-FL: Practical private aggregation in federated learning with local differential privacy

L Sun, J Qian, X Chen - arXiv preprint arXiv:2007.15789, 2020 - arxiv.org
Train machine learning models on sensitive user data has raised increasing privacy
concerns in many areas. Federated learning is a popular approach for privacy protection …
被引用次数：190 相关文章

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

L Sun, J Qian, X Chen - Proceedings of the Thirtieth International Joint …, 2021 - cir.nii.ac.jp
抄録< jats: p> Training deep learning models on sensitive user data has raised increasing
privacy concerns in many areas. Federated learning is a popular approach for privacy …
[PDF] ijcai.org

[PDF][PDF] LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

L Sun, J Qian, X Chen - ijcai.org
Training deep learning models on sensitive user data has raised increasing privacy
concerns in many areas. Federated learning is a popular approach for privacy protection …
[PDF] archive.org

[PDF][PDF] LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

L Sun, J Qian, X Chen - scholar.archive.org
Training deep learning models on sensitive user data has raised increasing privacy
concerns in many areas. Federated learning is a popular approach for privacy protection …

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

L Sun, J Qian, X Chen - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Train machine learning models on sensitive user data has raised increasing privacy
concerns in many areas. Federated learning is a popular approach for privacy protection …