Power Allocation for Wireless Federated Learning Using Graph Neural Networks
Author:
Affiliation:
1. Rice University,USA
2. US Army DEVCOM Army Research Lab.,USA
Funder
Army Research Office
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747764.pdf?arnumber=9747764
Reference30 articles.
1. Gradient-based learning applied to document recognition
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3. A Globally Optimal Energy-Efficient Power Control Framework and Its Efficient Implementation in Wireless Interference Networks
4. A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks
5. Multi-Armed Bandit-Based Client Scheduling for Federated Learning
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3. Federated Graph Neural Networks: Overview, Techniques, and Challenges;IEEE Transactions on Neural Networks and Learning Systems;2024
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