Federated Learning for Industrial Internet of Things in Future Industries-Reference-Cited by-同舟云学术

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Federated Learning for Industrial Internet of Things in Future Industries

Published:2021-12 Issue:6 Volume:28 Page:192-199
ISSN:1536-1284
Container-title:IEEE Wireless Communications
language:
Short-container-title:IEEE Wireless Commun.

Author:

Nguyen Dinh C.,Ding Ming,Pathirana Pubudu N.,Seneviratne Aruna,Li Jun,Niyato Dusit,Poor H. Vincent

Funder

CSIRO Data61

U.S. National Science Foundation

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7742/9690141/09508907.pdf?arnumber=9508907

Cited by 58 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. Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness;IEEE Internet of Things Magazine;2024-09

2. A Deep Federated Learning-Based User Credit Evaluation Model Under Financial Internet of Things Scenarios;Journal of Circuits, Systems and Computers;2024-08-21

3. CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients;Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design;2024-08-05

4. Federated Learning for Sleep Detection Problems;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29

5. Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

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