Federated learning secrecy rate optimization for 6G intelligent reflecting surface assistance
Non-orthogonal multiple access (NOMA) based federated learning (FL) can achieve the massive connectivity of internet of thing (IoT) devices, high rate transmission, and pervasive intelligence in 6G networks. However, the stochastic channels in NOMA can lead to fluctuations in the transmission delay...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2025-04-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2025021 |
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