Personalized Federated Learning for Goods Classification in Wireless Sensor-Assisted Smart Warehouses-Reference-Cited by-同舟云学术

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Personalized Federated Learning for Goods Classification in Wireless Sensor-Assisted Smart Warehouses

Published:2024-02 Issue:1 Volume:70 Page:4178-4186
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Li Pei¹^ORCID,Liu Zhijun¹,Peng Jialiang¹^ORCID,Zhou Lili²,Liu Tongjun²,Wu Yi¹^ORCID,El-Latif Ahmed A. Abd³^ORCID

Affiliation:

1. School of Data Science and Technology, Heilongjiang University, Harbin, China

2. Institute of Intelligent Manufacturing, Heilongjiang Academy of Sciences, Harbin, China

3. EIAS Data Science Lab, College of Computer and Information Sciences, and the Center of Excellence in Quantum and Intelligent Computing, Prince Sultan University, Riyadh, Saudi Arabia

Funder

Fundamental Research Funds for Heilongjiang Universities, China

Prince Sultan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10474140.pdf?arnumber=10474140

Reference36 articles.

1. A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse

2. Online Multi-Agent Task Assignment and Path Finding with Kinematic Constraint in the Federated Internet of Things

3. Image Information Recognition and Classification of Warehoused Goods in Intelligent Logistics Based on Machine Vision Technology

4. Design of a reference architecture for developing smart warehouses in industry 4.0

5. Privacy-Enhanced Pneumonia Diagnosis: IoT-Enabled Federated Multi-Party Computation in Industry 5.0

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