Quotation Rehman, Muhammad Habib Ur, Dirir, Ahmed Mukhtar, Salah, Khaled, Damiani, Ernesto, Svetinovic, Davor. 2021. TrustFed: A Framework for Fair and Trustworthy Cross-Device Federated Learning in IIoT. IEEE Transactions on Industrial Informatics. 17 8485-8494.




Cross-device federated learning (CDFL) systems enable fully decentralized training networks whereby each participating device can act as a model-owner and a model-producer. CDFL systems need to ensure fairness, trustworthiness, and high-quality model availability across all the participants in the underlying training networks. This article presents a blockchain-based framework, TrustFed, for CDFL systems to detect the model poisoning attacks, enable fair training settings, and maintain the participating devices' reputation. TrustFed provides fairness by detecting and removing the attackers from the training distributions. It uses blockchain smart contracts to maintain participating devices' reputations to compel the participants in bringing active and honest model contributions. We implemented the TrustFed using a Python-simulated federated learning framework, blockchain smart contracts, and statistical outlier detection techniques. We tested it over the large-scale industrial Internet of things dataset and multiple attack models. We found that TrustFed produces better results regarding multiple aspects compared with the conventional baseline approaches.


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Publication's profile

Status of publication Published
Affiliation External
Type of publication Journal article
Journal IEEE Transactions on Industrial Informatics
Citation Index SCI
Language English
Title TrustFed: A Framework for Fair and Trustworthy Cross-Device Federated Learning in IIoT
Volume 17
Year 2021
Page from 8485
Page to 8494
Reviewed? Y
URL http://xplorestaging.ieee.org/ielx7/9424/9523447/09416805.pdf?arnumber=9416805
DOI http://dx.doi.org/10.1109/tii.2021.3075706
Open Access Y
Open Access Link https://ieeexplore.ieee.org/document/9416805


Svetinovic, Davor (Details)
Damiani, Ernesto (Khalifa University | KU · Artificial Intelligence and Intelligent Systems Institute, United Arab Emirates)
Dirir, Ahmed Mukhtar (Khalifa University of Science and Technology, United Arab Emirates)
Rehman, Muhammad Habib Ur (Khalifa University of Science and Technology, United Arab Emirates)
Salah, Khaled (Khalifa University | KU · Department of Electrical and Computer Engineering, United Arab Emirates)
Information Systems and Operations Management DP (Details)
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