Over-the-Air Computation over Balanced Numerals
Author:
Affiliation:
1. University of South Carolina,Columbia,SC,USA
2. InterDigital,New York,NY,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008587.pdf?arnumber=10008587
Reference20 articles.
1. Gradient Statistics Aware Power Control for Over-the-Air Federated Learning
2. One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
3. Distributed learning over a wireless network with FSK-based majority vote;?ahin;Proc IEEE International Conference on Advanced Communication Technologies and Networking (CommNet),2021
4. Performance analysis of UAV-enabled over-the-air computation under imperfect channel estimation;jung;IEEE Wireless Commun Lett,2021
5. Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation
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1. Optimal Receive Filter Design for Misaligned Over-the-Air Computation;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04
2. Federated Learning Over-the-Air by Retransmissions;IEEE Transactions on Wireless Communications;2023-12
3. Computing Functions Over-the-Air Using Digital Modulations;ICC 2023 - IEEE International Conference on Communications;2023-05-28
4. Optimal Power Control and CSI Acquisition for Over-the-Air Computation in OFDM System;IEEE Transactions on Wireless Communications;2023
5. ChannelComp: A General Method for Computation by Communications;IEEE Transactions on Communications;2023
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