Energy-Efficient Federated Transfer Learning in 6G Native AI Networks
Author:
Affiliation:
1. China Mobile Research Institute,Beijing,China,100053
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10464388/10464393/10464856.pdf?arnumber=10464856
Reference8 articles.
1. Native intelligence for 6G mobile network: technical challenges, architecture and key features;Liu;Journal of China BUPT.,2022
2. Federated and Transfer Learning-Empowered Intrusion Detection for IoT Applications
3. Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design
4. A MEC-Based Architecture to Secure IoT Applications using Federated Deep Learning
5. Communication- efficient learning of deep networks from decentralized data;McMahan
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