Rongwei Lu

According to our database, Rongwei Lu authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Accelerating Parallel Diffusion Model Serving with Residual Compression.

Jiajun Luo, Yicheng Xiao, Jianru Xu, Yangxiu You, Rongwei Lu, Chen Tang, Jingyan Jiang, Zhi Wang

CoRR, July, 2025

DeCo-SGD: Joint Optimization of Delay Staleness and Gradient Compression Ratio for Distributed SGD.

Rongwei Lu, Jingyan Jiang, Chunyang Li, Haotian Dong, Xingguang Wei, Delin Cai, Zhi Wang

CoRR, July, 2025

Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing.

Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang

IEEE Trans. Mob. Comput., April, 2025

Beyond A Single AI Cluster: A Survey of Decentralized LLM Training.

Haotian Dong, Jingyan Jiang, Rongwei Lu, Jiajun Luo, Jiajun Song, Bowen Li, Ying Shen, Zhi Wang

CoRR, March, 2025

LLM4Band: Enhancing Reinforcement Learning with Large Language Models for Accurate Bandwidth Estimation.

Zhijian Wang, Rongwei Lu, Zhiyang Zhang, Cédric Westphal, Dongbiao He, Jingyan Jiang

Proceedings of the 35th Workshop on Network and Operating System Support for Digital Audio and Video, 2025

γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning.

Rongwei Lu, Yutong Jiang, Jinrui Zhang, Chunyang Li, Yifei Zhu, Bin Chen, Zhi Wang

Proceedings of the IEEE INFOCOM 2025, 2025

2024

Cascade Clutter Suppression Method for Airborne Frequency Diversity Array Radar Based on Elevation Oblique Subspace Projection and Azimuth-Doppler Space-Time Adaptive Processing.

Rongwei Lu, Yifeng Wu, Lei Zhang, Ziyi Chen

Remote. Sens., September, 2024

Staleness-Centric Optimizations for Efficient Diffusion MoE Inference.

Jiajun Luo, Lizhuo Luo, Jianru Xu, Jiajun Song, Rongwei Lu, Chen Tang, Zhi Wang

CoRR, 2024

A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning.

Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation.

Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shijia Ge, Zhi Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Retraining-free Model Quantization via One-Shot Weight-Coupling Learning.

Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing.

Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang

CoRR, 2023

DAGC: Data-Aware Adaptive Gradient Compression.

Rongwei Lu, Jiajun Song, Bin Chen, Laizhong Cui, Zhi Wang

Proceedings of the IEEE INFOCOM 2023, 2023