Joint Client Scheduling and Resource Allocation Under Channel Uncertainty in Federated Learning-Reference-Cited by-同舟云学术

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Joint Client Scheduling and Resource Allocation Under Channel Uncertainty in Federated Learning

Published:2021-09 Issue:9 Volume:69 Page:5962-5974
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Wadu Madhusanka Manimel^ORCID,Samarakoon Sumudu^ORCID,Bennis Mehdi^ORCID

Funder

Academy of Finland 6G Flagship

project SMARTER, projects EU-ICT IntellIoT and EUCHISTERA LearningEdge, Infotech-NOOR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/9537938/09452072.pdf?arnumber=9452072

Cited by 37 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. Auction-based client selection for online Federated Learning;Information Fusion;2024-12

2. Knowledge Caching for Federated Learning in Wireless Cellular Networks;IEEE Transactions on Wireless Communications;2024-08

3. Quality-aware Client Selection and Resource Optimization for Federated Learning in Computing Networks;ICC 2024 - IEEE International Conference on Communications;2024-06-09

4. On the Convergence of Hierarchical Federated Learning with Gradient Quantization and Imperfect Transmission;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Comparative Study of Radio Resource Distribution Algorithms;Engineering, Technology & Applied Science Research;2024-02-08

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