Multi-view Ensemble Federated Learning for Efficient Prediction of Consumer Electronics Applications in Fog Networks-Reference-Cited by-同舟云学术

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Multi-view Ensemble Federated Learning for Efficient Prediction of Consumer Electronics Applications in Fog Networks

Published:2023 Issue: Volume: Page:1-1
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Patole Rupali¹,Singh Neha¹,Adhikari Mainak¹^ORCID,Singh Amit Kumar²^ORCID

Affiliation:

1. Indian Institute of Information Technology Lucknow, India

2. National Institute of Technology Patna, India

Funder

Science and Engineering Research Board

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/30/8306365/10302425.pdf?arnumber=10302425

Cited by 3 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. An improved federated deep learning for plant leaf disease detection;Multimedia Tools and Applications;2024-03-13

2. Next-Generation Consumer Electronics Data Auditing Scheme Toward Cloud–Edge Distributed and Resilient Machine Learning;IEEE Transactions on Consumer Electronics;2024-02

3. Latent Vector Optimization-Based Generative Image Steganography for Consumer Electronic Applications;IEEE Transactions on Consumer Electronics;2024-02

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