Vertical federated learning over cloud-RAN: Convergence analysis and system optimization

Y Shi, S Xia, Y Zhou, Y Mao, C Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vertical federated learning (FL) is a collaborative machine learning framework that enables
devices to learn a global model from the feature-partition datasets without sharing local raw …

Vertical Federated Learning Over Cloud-RAN: Convergence Analysis and System Optimization

Y Shi, S Xia, Y Zhou, Y Mao, C Jiang… - IEEE Transactions on …, 2024 - dl.acm.org
Vertical federated learning (FL) is a collaborative machine learning framework that enables
devices to learn a global model from the feature-partition datasets without sharing local raw …

Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization

Y Shi, S Xia, Y Zhou, Y Mao, C Jiang, M Tao - 2023 - kms.shanghaitech.edu.cn
Vertical federated learning (FL) is a collaborative machine learning framework that enables
devices to learn a global model from the feature-partition datasets without sharing local raw …

Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization

Y Shi, S Xia, Y Zhou, Y Mao, C Jiang, M Tao - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Vertical federated learning (FL) is a collaborative machine learning framework that enables
devices to learn a global model from the feature-partition datasets without sharing local raw …

Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization

Y Shi, S Xia, Y Zhou, Y Mao, C Jiang, M Tao - arXiv preprint arXiv …, 2023 - arxiv.org
Vertical federated learning (FL) is a collaborative machine learning framework that enables
devices to learn a global model from the feature-partition datasets without sharing local raw …