13 citations · 14 across the 3 of their papers we have counts for
4 papers
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Jinsheng Yuan, Yuhang Hao, Weisi Guo +2
Federated Learning (FL) has the potential for simultaneous global learning amongst a large number of parallel agents, enabling emerging AI such as LLMs to be trained across demogra…
RAG-based User Profiling for Precision Planning in Mixed-precision Over-the-Air Federated Learning
Jinsheng Yuan, Yun Tang, Weisi Guo
Mixed-precision computing, a widely applied technique in AI, offers a larger trade-off space between accuracy and efficiency. The recent purposed Mixed-Precision Over-the-Air Feder…
A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service
Kai-Fung Chu, Haiyue Yuan, Jinsheng Yuan +3
Mobility-as-a-Service (MaaS) integrates different transport modalities and can support more personalisation of travellers' journey planning based on their individual preferences, b…
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation
Jinsheng Yuan, Zhuangkun Wei, Weisi Guo
Over-the-Air Federated Learning (OTA-FL) is a privacy-preserving distributed learning mechanism, by aggregating updates in the electromagnetic channel rather than at the server. A…