Communication-efficient Federated Learning Design with Fronthaul Awareness in NG-RANs
Author:
Affiliation:
1. Rutgers University,Department of Electrical and Computer Engineering,New Brunswick,NJ,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9973399/9973403/09973714.pdf?arnumber=9973714
Reference28 articles.
1. vrAIn: Deep learning based orchestration for computing and radio resources in vRANs;ayala-romero;IEEE Trans Mobile Comput,2020
2. Bandwidth and Energy-Aware Resource Allocation for Cloud Radio Access Networks
3. Communication-efficient learning of deep networks from decentralized data;mcmahan;Artificial Intelligence and Statistics,2017
4. Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems
5. D2D-Assisted Federated Learning in Mobile Edge Computing Networks
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1. Latency optimized C-RAN in optical backhaul and RF fronthaul architecture for beyond 5G network: A comprehensive survey;Computer Networks;2024-06
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