Federated Learning Based Resource Allocation for Wireless Communication Networks
Author:
Affiliation:
1. KU Leuven, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics,Department of Electrical Engineering (ESAT)
Funder
KU Leuven
Fonds de la Recherche Scientifique - FNRS
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909708.pdf?arnumber=9909708
Reference22 articles.
1. Deep Learning-Based Cross-Layer Resource Allocation for Wired Communication Systems
2. Model-Free Learning of Optimal Ergodic Policies in Wireless Systems
3. Learning-Based Resource Allocation with Dynamic Data Rate Constraints
4. Team Deep Mixture of Experts for Distributed Power Control
5. Learning in Wireless Control Systems Over Nonstationary Channels
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3. Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
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