Improving semi-supervised federated learning by reducing the gradient diversity of models

Z Zhang, Y Yang, Z Yao, Y Yan… - … Conference on Big …, 2021 - ieeexplore.ieee.org
Federated learning (FL) is a promising way to use the computing power of mobile devices
while maintaining the privacy of users. Current work in FL, however, makes the unrealistic …
被引用次数：78 相关文章

Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models

Z Zhang, Y Yang, Z Yao, Y Yan, JE Gonzalez… - arXiv preprint arXiv …, 2020 - arxiv.org
Federated learning (FL) is a promising way to use the computing power of mobile devices
while maintaining the privacy of users. Current work in FL, however, makes the unrealistic …

Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models

Z Zhang, Y Yang, Z Yao, Y Yan, JE Gonzalez… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Federated learning (FL) is a promising way to use the computing power of mobile devices
while maintaining the privacy of users. Current work in FL, however, makes the unrealistic …
[PDF] researchgate.net

[PDF][PDF] Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models

Z Zhang, Y Yang, Z Yao, Y Yan… - arXiv preprint arXiv …, 2020 - researchgate.net
Federated learning (FL) is a promising way to use the computing power of mobile devices
while maintaining the privacy of users. Current work in FL, however, makes the unrealistic …

Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models

Z Zhang, Y Yang, Z Yao, Y Yan, JE Gonzalez… - … Conference on Big …, 2021 - computer.org
Federated learning (FL) is a promising way to use the computing power of mobile devices
while maintaining the privacy of users. Current work in FL, however, makes the unrealistic …