2 papers
cs.LG2025
FLAD: Federated Learning for LLM-based Autonomous Driving in Vehicle-Edge-Cloud Networks
Tianao Xiang, Mingjian Zhi, Yuanguo Bi +2
Large Language Models (LLMs) have impressive data fusion and reasoning capabilities for autonomous driving (AD). However, training LLMs for AD faces significant challenges includin…
eess.SP2020
For Intelligent and Higher Spectrum Efficiency: A Variable Packing Ratio Transmission System Based on Faster-than-Nyquist and Deep Learning
Peiyang Song, Nan Zhang, Lin Cai +2
With the rapid development of various services in wireless communications, spectrum resource has become increasingly valuable. Faster than Nyquist (FTN) signaling, proposed in the…