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2020 – today
- 2025
[j2]Rongwei Lu
, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang:
Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing. IEEE Trans. Mob. Comput. 24(4): 2755-2768 (2025)- [c6]Rongwei Lu, Yutong Jiang, Jinrui Zhang, Chunyang Li, Yifei Zhu, Bin Chen, Zhi Wang:
γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning. INFOCOM 2025: 1-10 - [c5]Zhijian Wang, Rongwei Lu, Zhiyang Zhang, Cédric Westphal, Dongbiao He, Jingyan Jiang:
LLM4Band: Enhancing Reinforcement Learning with Large Language Models for Accurate Bandwidth Estimation. NOSSDAV 2025: 43-49 - [i9]Haotian Dong, Jingyan Jiang, Rongwei Lu, Jiajun Luo, Jiajun Song, Bowen Li, Ying Shen, Zhi Wang:
Beyond A Single AI Cluster: A Survey of Decentralized LLM Training. CoRR abs/2503.11023 (2025) - [i8]Rongwei Lu, Yutong Jiang, Jinrui Zhang, Chunyang Li, Yifei Zhu, Bin Chen, Zhi Wang:
γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning. CoRR abs/2505.12479 (2025) - [i7]Rongwei Lu, Jingyan Jiang, Chunyang Li, Haotian Dong, Xingguang Wei, Delin Cai, Zhi Wang:
DeCo-SGD: Joint Optimization of Delay Staleness and Gradient Compression Ratio for Distributed SGD. CoRR abs/2507.17346 (2025) - [i6]Jiajun Luo, Yicheng Xiao, Jianru Xu, Yangxiu You, Rongwei Lu, Chen Tang, Jingyan Jiang, Zhi Wang:
Accelerating Parallel Diffusion Model Serving with Residual Compression. CoRR abs/2507.17511 (2025) - 2024
- [j1]Rongwei Lu, Yifeng Wu, Lei Zhang, Ziyi Chen:
Cascade Clutter Suppression Method for Airborne Frequency Diversity Array Radar Based on Elevation Oblique Subspace Projection and Azimuth-Doppler Space-Time Adaptive Processing. Remote. Sens. 16(17): 3198 (2024) - [c4]Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. CVPR 2024: 15855-15865 - [c3]Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shijia Ge, Zhi Wang:
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation. ECCV (33) 2024: 434-452 - [c2]Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang:
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning. Euro-Par (3) 2024: 196-211 - [i5]Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. CoRR abs/2401.01543 (2024) - [i4]Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang:
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning. CoRR abs/2407.05125 (2024) - [i3]Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shijia Ge, Zhi Wang:
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation. CoRR abs/2409.09756 (2024) - [i2]Jiajun Luo, Lizhuo Luo, Jianru Xu, Jiajun Song, Rongwei Lu, Chen Tang, Zhi Wang:
Staleness-Centric Optimizations for Efficient Diffusion MoE Inference. CoRR abs/2411.16786 (2024) - 2023
- [c1]Rongwei Lu, Jiajun Song, Bin Chen, Laizhong Cui, Zhi Wang:
DAGC: Data-Aware Adaptive Gradient Compression. INFOCOM 2023: 1-10 - [i1]Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang:
DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing. CoRR abs/2311.07324 (2023)
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