1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.AI2025
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Xubin Wang, Zhiqing Tang, Jianxiong Guo +4
The rapid advancement of artificial intelligence (AI) technologies has led to an increasing deployment of AI models on edge and terminal devices, driven by the proliferation of the…
cs.CR2025★ 1 cited
Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems
Haiyang Huang, Tianhui Meng, Weijia Jia
Large language models (LLMs) have significantly facilitated human life, and prompt engineering has improved the efficiency of these models. However, recent years have witnessed a r…
cs.LG2024
Fed-Credit: Robust Federated Learning with Credibility Management
Jiayan Chen, Zhirong Qian, Tianhui Meng +3
Aiming at privacy preservation, Federated Learning (FL) is an emerging machine learning approach enabling model training on decentralized devices or data sources. The learning mech…