4 papers
Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models
Xinyu Huang, Leming Shen, Zijing Ma +1
Large Language Models (LLMs) have showcased remarkable generalizability in language comprehension and hold significant potential to revolutionize human-computer interaction in smar…
AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications
Leming Shen, Qiang Yang, Yuanqing Zheng +1
The advent of Large Language Models (LLMs) has profoundly transformed our lives, revolutionizing interactions with AI and lowering the barrier to AI usage. While LLMs are primarily…
GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development
Leming Shen, Qiang Yang, Xinyu Huang +2
Code Large Language Models (LLMs) enhance software development efficiency by automatically generating code and documentation in response to user requirements. However, code LLMs ca…
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
Leming Shen, Qiang Yang, Kaiyan Cui +4
Federated Learning (FL) facilitates collaborative training of a shared global model without exposing clients' private data. In practical FL systems, clients (e.g., edge servers, sm…