Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3161943
Abstract: Nowadays, the Industrial Internet of Things (IIoT) has played an integral role in Industry 4.0 and produced massive amounts of data for industrial intelligence. These data locate on decentralized devices in modern factories. To protect… read more here.
Keywords: data heterogeneity; federated learning; heterogeneity robust; learning via ... See more keywords
RobustFL: Robust Federated Learning Against Poisoning Attacks in Industrial IoT Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3132954
Abstract: Industrial Internet of Things (IIoT) systems are key enabling infrastructures that sustain the functioning of production and manufacturing. To satisfy the intelligence demands, federated learning has been envisioned as a promising technique for IIoT applications… read more here.
Keywords: robust federated; federated learning; learning poisoning; model ... See more keywords
DisBezant: Secure and Robust Federated Learning Against Byzantine Attack in IoT-Enabled MTS
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3152156
Abstract: With the intelligentization of Maritime Transportation System (MTS), Internet of Thing (IoT) and machine learning technologies have been widely used to achieve the intelligent control and routing planning for ships. As an important branch of… read more here.
Keywords: enabled mts; federated learning; iot enabled; byzantine ... See more keywords
Fed-RDP: A Robust Federated Learning Framework for Multi-Party Decision-Making
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2025.3557850
Abstract: In the field of intelligent manufacturing, the vast and heterogeneous nature of data across different departments poses significant challenges for collaborative decision-making. Direct data sharing often leads to severe privacy and security concerns. Although federated… read more here.
Keywords: robust federated; decision making; privacy; federated learning ... See more keywords
Robust Federated Learning for Heterogeneous Model and Data
Sign Up to like & getrecommendations! Published in 2024 at "International journal of neural systems"
DOI: 10.1142/s0129065724500199
Abstract: Data privacy and security is an essential challenge in medical clinical settings, where individual hospital has its own sensitive patients data. Due to recent advances in decentralized machine learning in Federated Learning (FL), each hospital… read more here.
Keywords: robust federated; model data; learning heterogeneous; model ... See more keywords
CGFL: A Robust Federated Learning Approach for Intrusion Detection Systems Based on Data Generation
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15052416
Abstract: The implementation of comprehensive security measures is a critical factor in the rapid growth of industrial control networks. Federated Learning has emerged as a viable solution for safeguarding privacy in machine learning. The effectiveness of… read more here.
Keywords: detection; robust federated; cgfl; data generation ... See more keywords