A Demonstration of 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/ielx7/10008390/10008474/10008778.pdf?arnumber=10008778
Reference16 articles.
1. Multi-cell Non-coherent Over-the-Air Computation for Federated Edge Learning
2. Distributed learning over a wireless network with FSK-based majority vote;?ahin;Proc IEEEE International Conference on Advanced Communication Technologies and Networking (CommNet),2021
3. signSGD: Compressed optimisation for non-convex problems;bernstein;Proceedings of 7th International Conference on Machine Learning,2018
4. Distributed learning over a wireless network with non-coherent majority vote computation;?ahin,2022
5. A testbed based verification of joint communication and computation systems
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1. Unleashing Edgeless Federated Learning With Analog Transmissions;IEEE Transactions on Signal Processing;2024
2. Optimal Receive Filter Design for Misaligned Over-the-Air Computation;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04
3. Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning;IEEE Transactions on Mobile Computing;2023
4. Over-the-Air Computation Based on Balanced Number Systems for Federated Edge Learning;IEEE Transactions on Wireless Communications;2023
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