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Zhi-Sheng Niu

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#machine learning Preprint Sep 2026

FedPGT: Progressive Gradient Transmission for Vehicular Federated Learning over Time-Varying Channels

FedPGT, a progressive gradient transmission scheme for VFL over time-varying channels, where vehicles progressively transmit high-magnitude gradient entries in response to instantaneous channel conditions is proposed, establishing a convergence bound that characterizes the impact of transmitted gradient entries and rev...

Jin-Tao Yan, Tan Chen, Yuxuan Sun et al. · 0 citations
Preprint Aug 2026

DH-VLM: Dual-Horizon Cooperative Latent Reasoning for Autonomous Driving

DH-VLM is proposed, a dual-horizon cooperative latent reasoning framework that enables asymmetric semantic cooperation between the infrastructure and ego vehicle and achieves state-of-the-art planning performance, outperforming the previous state of the art.

Ziyi Song, Chen Xia, Hang Yu et al. · 2 citations
#edge computing Conference Open access Aug 2026

Joint Optimization of Memory and Computing Frequency for Energy-Efficient DNN Inference

The impact of memory frequency and computing frequency on DNN inference time is considered, and a low-complexity heuristic algorithm is proposed to effectively solve the overall problem with polynomial time complexity.

Yun-Chu Han, Zhao-Jun Nan, Sheng Zhou et al. · 0 citations

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