This paper investigates Byzantine fault-tolerant decision-making consensus for agentic environments, with vehicular coordination as the primary instantiation, and proposes a synchronous Byzantine fault-tolerant consensus protocol with veto support, and a continuous-value consensus protocol for partially synchronous net...
Huan-Yu Wu, Chen-Tao Yue, Yan Gou et al.· IEEE Transactions on Cogniti...· 0 citations
FLFAR reduces federated LoRA fine-tuning time by up to 40% while maintaining comparable accuracy, and at the beginning of each global round, the LoRA rank of each device is adapted according to its computational and communication capacity.
Large Language Models (LLMs) have been increasingly applied to intelligent vehicular systems for tasks such as scene understanding, intent reasoning, and natural language interaction. However, their inference demands exceed onboard processing capabilities, making low-latency on-vehicle inference impractical. Although e...
Xiwen Liao, Supeng Leng, Ke Zhang et al.· IEEE Transactions on Network...· 0 citations
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