A decentralised federated learning scheme for heterogeneous devices in cognitive IoT-Reference-Cited by-同舟云学术

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A decentralised federated learning scheme for heterogeneous devices in cognitive IoT

Published:2024 Issue: Volume:5 Page:357-366
ISSN:2666-3074
Container-title:International Journal of Cognitive Computing in Engineering
language:en
Short-container-title:International Journal of Cognitive Computing in Engineering

Author:

Ge Huanhuan^ORCID,Yang Xingtao,Wang Jinlong,Lyu Zhihan

Funder

Anhui University

Qingdao Municipal Science and Technology Bureau

Taishan Scholar Project of Shandong Province

Anhui Jianzhu University

Key Laboratory of Oil Shale and Coexistent Energy Minerals of Jilin Province

Department of Science and Technology of Shandong Province

Publisher

Elsevier BV

Reference46 articles.

1. Decentralized federated learning: Fundamentals, state-of-the-art, frameworks, trends, and challenges;Beltrán,2022

2. Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges;Beltrán;IEEE Communications Surveys & Tutorials,2023

3. Multi-model federated learning;Bhuyan,2022

4. Cognitive computing: architecture, technologies and intelligent applications;Chen;IEEE Access,2018

5. EMNIST: Extending MNIST to handwritten letters;Cohen,2017

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