Hierarchical Over-the-Air Federated Edge Learning
Author:
Affiliation:
1. Bilkent University,Dept. of Electrical and Electronics Engineering,Ankara,Turkey
2. Imperial College London,Dept. of Electrical and Electronic Engineering,London,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837954/9838246/09839230.pdf?arnumber=9839230
Reference23 articles.
1. Blind Federated Learning at the Wireless Edge With Low-Resolution ADC and DAC
2. Federated Learning over Time-Varying Channels
3. Over-the-Air Federated Learning From Heterogeneous Data
4. Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation
5. Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control
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1. D2D-assisted two-stage model aggregation scheme based on over-the-air computation;SCIENTIA SINICA Physica, Mechanica & Astronomica;2024-08-01
2. Scalable Hierarchical Over-the-Air Federated Learning;IEEE Transactions on Wireless Communications;2024-08
3. Convergence Analysis and Optimization of SWIPT-Based Over-the-Air Federated Learning;IEEE Communications Letters;2024-06
4. Hierarchical Over-the-Air Federated Learning With Awareness of Interference and Data Heterogeneity;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21
5. Federated learning based on Stackelberg game in unmanned-aerial-vehicle-enabled mobile edge computing;Expert Systems with Applications;2024-01
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