5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures
Payam Abdisarabshali, Fardis Nadimi, Kasra Borazjani +6
The rise of foundation models (FMs) has reshaped the landscape of machine learning. As these models continued to grow, leveraging geo-distributed data from wireless devices has bec…
eess.SP2025★ 5 cited
Lightweight and Self-Evolving Channel Twinning: An Ensemble DMD-Assisted Approach
Yashuai Cao, Jintao Wang, Xu Shi +1
Traditional channel acquisition faces significant limitations due to ideal model assumptions and scalability challenges. A novel environment-aware paradigm, known as channel twinni…
cs.CR2024
ByCAN: Reverse Engineering Controller Area Network (CAN) Messages from Bit to Byte Level
Xiaojie Lin, Baihe Ma, Xu Wang +4
As the primary standard protocol for modern cars, the Controller Area Network (CAN) is a critical research target for automotive cybersecurity threats and autonomous applications.…