Scalable Hierarchical Over-the-Air Federated Learning-Reference-Cited by-同舟云学术

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Scalable Hierarchical Over-the-Air Federated Learning

Published:2024-08 Issue:8 Volume:23 Page:8480-8496
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Azimi-Abarghouyi Seyed Mohammad¹^ORCID,Fodor Viktoria¹^ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science, Digital Futures, KTH Royal Institute of Technology, Stockholm, Sweden

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7693/10634832/10400441.pdf?arnumber=10400441

Reference40 articles.

1. Hierarchical Over-the-Air Federated Learning With Awareness of Interference and Data Heterogeneity

2. Wireless for Machine Learning: A Survey

3. Communication-efficient learning of deep networks from decentralized data;McMahan

4. Multi-level local SGD: Distributed SGD for heterogeneous hierarchical networks;Castiglia

5. Hierarchical Federated Learning With Quantization: Convergence Analysis and System Design

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Analysis of a Hybrid Federated-Centralized Learning Framework;2024 IEEE International Conference on Electro Information Technology (eIT);2024-05-30

2. BS-SCRM: a novel approach to secure wireless sensor networks via blockchain and swarm intelligence techniques;Scientific Reports;2024-04-27

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