4 papers
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
Zishuai Zhang, Hainan zhang, Weihua Li +4
Private data holds promise for improving LLMs due to its high quality, but its scattered distribution across data silos and the high computational demands of LLMs limit their deplo…
Probing then Editing: A Push-Pull Framework for Retain-Free Machine Unlearning in Industrial IoT
Jiao Chen, Weihua Li, Jianhua Tang
In dynamic Industrial Internet of Things (IIoT) environments, models need the ability to selectively forget outdated or erroneous knowledge. However, existing methods typically rel…
FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models
Jiao Chen, Ruyi Huang, Zuohong Lv +2
Recently, employing single-modality large language models based on mechanical vibration signals as Tuning Predictors has introduced new perspectives in intelligent fault diagnosis.…
Towards General Industrial Intelligence: A Survey of Continual Large Models in Industrial IoT
Jiao Chen, Jiayi He, Fangfang Chen +6
Industrial AI is transitioning from traditional deep learning models to large-scale transformer-based architectures, with the Industrial Internet of Things (IIoT) playing a pivotal…