FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing

Y Jia, X Zhang, A Beheshti, W Dou - … of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
Federated Learning (FL) has emerged as a promising solution in Edge Computing (EC)
environments to process the proliferation of data generated by edge devices. By …
被引用次数：1 相关文章

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing

Y Jia, X Zhang, A Beheshti, W Dou - arXiv preprint arXiv:2402.08578, 2024 - arxiv.org
Federated Learning (FL) has emerged as a promising solution in Edge Computing (EC)
environments to process the proliferation of data generated by edge devices. By …

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing

Y Jia, X Zhang, A Beheshti, W Dou - arXiv e-prints, 2024 - ui.adsabs.harvard.edu
Federated Learning (FL) has emerged as a promising solution in Edge Computing (EC)
environments to process the proliferation of data generated by edge devices. By …

FedLPS: heterogeneous federated learning for multiple tasks with local parameter sharing

Y Jia, X Zhang, A Beheshti… - Proceedings of the AAAI …, 2024 - researchers.mq.edu.au
Federated Learning (FL) has emerged as a promising solution in Edge Computing (EC)
environments to process the proliferation of data generated by edge devices. By …