Confined gradient descent: Privacy-preserving optimization for federated learning

Y Zhang, G Bai, X Li, S Nepal, RKL Ko - arXiv preprint arXiv:2104.13050, 2021 - arxiv.org
Federated learning enables multiple participants to collaboratively train a model without
aggregating the training data. Although the training data are kept within each participant and …
被引用次数：3 相关文章

Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning

Y Zhang, G Bai, X Li, S Nepal, RKL Ko - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Federated learning enables multiple participants to collaboratively train a model without
aggregating the training data. Although the training data are kept within each participant and …