FedBKD: Heterogenous Federated Learning via Bidirectional Knowledge Distillation for Modulation Classification in IoT-Edge System
Author:
Affiliation:
1. State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China
2. No. 011 Research Center, Science and Technology on Communication Information Security Control Laboratory, Jiaxing, China
Funder
National Natural Science Foundation of China
National Natural Science Foundation for Distinguished Young Scholar
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/4200690/10050192/09963546.pdf?arnumber=9963546
Reference56 articles.
1. Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
2. Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing;xu,2022
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5. Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
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