IEEE

Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks

Abstract: In this letter, we propose an energy-efficient split learning (SL) framework for fine-tuning large language models (LLMs) using geo-distributed personal data at the network edge, where LLMs ...
IEEE

Machine Learning-Based Resource Allocation in 6G Integrated Space and Terrestrial Networks-Aided Intelligent Autonomous Transportation

Abstract: The integration of terrestrial and non-terrestrial networks with mobile edge computing (MEC) and orbital edge computing (OEC) technologies is essential for advancing 6G communication ...