Author

Xiao-Hui Fu

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#small language model Nov 2026

Breaking Memory Wall for Fast Edge LLM Inference Using Contextual Sparsity

Deploying Large Language Models (LLMs) on memory-constrained edge servers to serve requests from mobile devices is challenging due to their substantial resource demands. The Key-Value (KV) cache and Feed-Forward Network (FFN) parameters consume the majority of available memory. However, existing methods typically rely...

Zhong-Xiang Wei, Yi-Peng Zhou, Jin Zhao et al. · IEEE Transactions on Mobile... · 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