Loss-Based Decentralized Federated Learning for Robust IoT Intrusion Detection System-Reference-Cited by-同舟云学术

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Loss-Based Decentralized Federated Learning for Robust IoT Intrusion Detection System

Published:2024-07-04 Issue: Volume: Page:119-123
ISSN:
Container-title:2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
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Author:

Putra Made Adi Paramartha¹,Utami Nengah Widya¹,Putra I Gede Juliana Eka¹,Karna Nyoman²,Rahmawati Tia²,Shiddiq Rama Wijaya²,Zainudin Ahmad³,Sampedro Gabriel Avelino R⁴

Affiliation:

1. Primakara University,Faculty of Information Technology and Design,Denpasar,Indonesia

2. School of Electrical Engineering, Telkom University,Bandung,Indonesia,40257

3. Kumoh National Institute of Technology,Department of Electronic Engineering,Gumi,South Korea

4. University of the Philippines Open University,Faculty of Information and Communication Studies,Laguna,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616252/10617449/10617474.pdf?arnumber=10617474

Reference18 articles.

1. AI-Enhanced Offloading in Edge Computing: When Machine Learning Meets Industrial IoT

2. Data Prediction-Based Energy-Efficient Architecture for Industrial IoT

3. A Survey on Security Attacks and Solutions in the IoT Network

4. Machine Learning Based Intrusion Detection System

5. Communication-efficient learning of deep net-works from decentralized data;Brendan;AI and statistics,” PMLR,2017

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