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