Author

Jin Zhao

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Preprint Oct 2026

Fast and Memory Efficient Offload Training Framework with Hybrid XPU Computation

With the ever-growing size of deep learning models, GPU memory is prone to being insufficient during training. A prominent approach is ZeRO-Offload, which moves the optimizer states to CPU memory and performs parameter update using CPU. However, the deficiencies of ZeRO-Offload include low GPU utilization, imperfect ov...

Zhi-Yi Yao, Zu-Ning Liang, Yue-Dong Xu et al. · 0 citations

2026

Selective Tensor Freezing for Efficient Fine-Tuning in Resource-Constrained Federated Learning

Fine-tuning remains essential for adapting large models to diverse downstream tasks, yet doing so in a privacy-preserving and resource-efficient manner is challenging, particularly in federated learning (FL) on edge devices. Parameter tensor freezing is a promising solution. However, current methods face key limitation...

Zhong-Xiang Wei, Zhi-Xiong Zhang, Yi-Peng Zhou et al. · IEEE Journal on Selected Are... · 0 citations