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20242026
most citedRethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm

1 citations · 1 across the 4 of their papers we have counts for

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cs.DC2025

Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management

Yipeng Liang, Qimei Chen, Guangxu Zhu +2

With the prevalence of Large Learning Models (LLM), Split Federated Learning (SFL), which divides a learning model into server-side and client-side models, has emerged as an appeal…