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cs.LG2026
RadioGen3D: 3D Radio Map Generation via Adversarial Learning on Large-Scale Synthetic Data
Junshen Chen, Angzi Xu, Zezhong Zhang +3
Radio maps are essential for efficient radio resource management in future 6G and low-altitude networks. While deep learning (DL) techniques have emerged as an efficient alternativ…
cs.LG2024
Distributed Sign Momentum with Local Steps for Training Transformers
Shuhua Yu, Ding Zhou, Cong Xie +4
Pre-training Transformer models is resource-intensive, and recent studies have shown that sign momentum is an efficient technique for training large-scale deep learning models, par…