Work

FCLLM-DT: Enpowering Federated Continual Learning With Large Language Models for Digital-Twin-Based Industrial IoT

Year: 2024

Type: article

Source: IEEE Internet of Things Journal

DOI: 10.1109/jiot.2024.3510553

Authors: Yingjie Xia, Yuhan Chen, Yunxiao Zhao, Li Kuang, Xuejiao Liu, Ji Hu, Zhiquan Liu

Institutions: Hangzhou Dianzi University, Zhejiang University, Guangxi Normal University, Hangzhou Normal University, Central South University, Jinan University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province

Awards: G1724196057, 基于多层区块链架构的车联网跨信任域高效认证机制研究

OpenAlex ID: W4405429486

FWCI: 6.771

Cites: 45

Cited by: 43

Related to: 10