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20232026
most citedRethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm

1 citations · 1 across the 7 of their papers we have counts for

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cs.DC2026

Pruning-Aware Multi-Cluster Co-Inference for Large AI Models in AI-RANs

Xiaowen Cao, Zhonghao Lyu, Shicheng Chu +6

The increasing scale and computational demands of large artificial intelligence models (LAIMs) present significant challenges for efficient inference in resource-constrained distri…