Multi-cell Non-coherent Over-the-Air Computation for Federated Edge Learning
Author:
Affiliation:
1. University of South Carolina,Electrical Engineering Department,Columbia,SC,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837954/9838246/09839037.pdf?arnumber=9839037
Reference16 articles.
1. One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
2. signSGD: Compressed optimisation for non-convex problems;bernstein;Proc in International Conference on Machine Learning vol 80 Proceedings of Machine Learning Research,2018
3. Hierarchical Federated Learning for Hybrid Data Partitioning Across Multitype Sensors
4. Federated Learning via Over-the-Air Computation
5. Collaborative machine learning at the wireless edge with blind transmitters;amiria;IEEE Trans Wireless Commun,2021
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2. Distributed Learning Over a Wireless Network With Non-Coherent Majority Vote Computation;IEEE Transactions on Wireless Communications;2023-11
3. Computing Functions Over-the-Air Using Digital Modulations;ICC 2023 - IEEE International Conference on Communications;2023-05-28
4. A Survey on Over-the-Air Computation;IEEE Communications Surveys & Tutorials;2023
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