DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update...

[PDF] arxiv.org

Differentially private federated learning: A systematic review

J Fu, Y Hong, X Ling, L Wang, X Ran, Z Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, privacy and security concerns in machine learning have promoted trusted
federated learning to the forefront of research. Differential privacy has emerged as the de …
被引用次数：2 相关文章 所有 2 个版本
[PDF] arxiv.org

FedFDP: Federated Learning with Fairness and Differential Privacy

X Ling, J Fu, Z Chen, K Wang, H Li, T Cheng… - arXiv preprint arXiv …, 2024 - arxiv.org
Federated learning (FL) is a new machine learning paradigm to overcome the challenge of
data silos and has garnered significant attention. However, through our observations, a …
相关文章 所有 2 个版本