Advancing IoT Security through Federated Learning: A Comprehensive Approach-Reference-Cited by-同舟云学术

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Advancing IoT Security through Federated Learning: A Comprehensive Approach

Published:2024-06-05 Issue: Volume:11 Page:561-566
ISSN:
Container-title:2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Mehta Shiva¹,Khurana Meenu²,Dogra Ayush³,Hariharan Shanmugasundaram⁴

Affiliation:

1. Chitkara University,Centre for Research Impact and Outcome,Rajpura,Punjab,India,140401

2. Chitkara University,Chitkara Centre for Research and Development,Himachal Pradesh,India,174103

3. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

4. Vardhaman College of Engineering,Department of Computer Science and Engineering,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574858/10574894/10575903.pdf?arnumber=10575903

Reference21 articles.

1. Comparative Analysis Of Security And Privacy Technique For Federated Learning In IOT Based Devices

2. Security for IoT using Federated Learning

3. Next-Generation Wheat Disease Monitoring: Leveraging Federated Convolutional Neural Networks for Severity Estimation

4. Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach;Le

5. A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNN

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