Federated learning and wireless communications

Z Qin, GY Li, H Ye - IEEE Wireless Communications, 2021 - ieeexplore.ieee.org
Federated learning becomes increasingly attractive in the areas of wireless communications
and machine learning due to its powerful learning ability and potential applications. In …
被引用次数：86 相关文章

Federated Learning and Wireless Communications

Z Qin, GY Li, H Ye - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Federated learning becomes increasingly attractive in the areas of wireless communications
and machine learning due to its powerful functions and potential applications. In contrast to …

[引用][C] WIRELESS COMMUNICATIONS

X Qin, M Alghamdi, M Nijim, Z Zong, K Bellam, X Ruan… - ieeexplore.ieee.org
WIRELESS COMMUNICATIONS Page 1 IEEE TRANSACTIONS ON WIRELESS
COMMUNICATIONS A PUBLICATION OF THE IEEE COMMUNICATIONS SOCIETY AND THE …

Federated Learning and Wireless Communications

Z Qin, GY Li, H Ye - IEEE Wireless Communications, 2021 - dl.acm.org
Federated learning becomes increasingly attractive in the areas of wireless communications
and machine learning due to its powerful learning ability and potential applications. In …

Federated Learning and Wireless Communications

Z Qin, GY Li, H Ye - arXiv preprint arXiv:2005.05265, 2020 - arxiv.org
Federated learning becomes increasingly attractive in the areas of wireless communications
and machine learning due to its powerful functions and potential applications. In contrast to …