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cs.IT2024
Embracing Radiance Field Rendering in 6G: Over-the-Air Training and Inference with 3D Contents
Guanlin Wu, Zhonghao Lyu, Juyong Zhang +1
The efficient representation, transmission, and reconstruction of three-dimensional (3D) contents are becoming increasingly important for sixth-generation (6G) networks that aim to…
cs.IT2024
Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
Zhonghao Lyu, Yuchen Li, Guangxu Zhu +3
In some applications, edge learning is experiencing a shift in focusing from conventional learning from scratch to new two-stage learning unifying pre-training and task-specific fi…