Lightweight Industrial Image Classifier based on Federated Few-Shot Learning-Reference-Cited by-同舟云学术

Lightweight Industrial Image Classifier based on Federated Few-Shot Learning

Published:2022 Issue: Volume: Page:1-10
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Sun Xinyue¹^ORCID,Yang Shusen²^ORCID,Zhao Cong¹

Affiliation:

1. National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, Xi'an, Shaanxi, China

2. National Engineering Laboratory for Big Data Analytics, Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, Shaanxi, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/4389054/09905952.pdf?arnumber=9905952

Cited by 6 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. Few-Shot Classification of Wafer Bin Maps Using Transfer Learning and Ensemble Learning;Journal of Manufacturing Science and Engineering;2024-04-22

2. Image Classification on Hypersphere Loss;IEEE Transactions on Industrial Informatics;2024-04

3. Community Awareness Personalized Federated Learning for Defect Detection;IEEE Transactions on Computational Social Systems;2024

4. Prospect Theory-Based Federated Learning Incentive Mechanism for Industrial IoT;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

5. Adaptive federated few-shot feature learning with prototype rectification;Engineering Applications of Artificial Intelligence;2023-11