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Efficient foundation model service provision over airborne networks:Collaborative tuning and inference

Zihan CHEN Longyu ZHOU Shengyu ZHANG Chenyuan FENG Dusit NIYATO

中国航空学报（英文版）2026，Vol.39Issue(5)：98-110,13.

中国航空学报（英文版）2026，Vol.39Issue(5)：98-110,13.DOI:10.1016/j.cja.2025.103982

Efficient foundation model service provision over airborne networks:Collaborative tuning and inference

Zihan CHEN ¹Longyu ZHOU ²Shengyu ZHANG ¹Chenyuan FENG ³Dusit NIYATO⁴

作者信息

1. Information Systems Technology and Design Pillar,Singapore University of Technology and Design,487372,Singapore
2. Information Systems Technology and Design Pillar,Singapore University of Technology and Design,487372,Singapore||Chinatelecom Singapore Innovation Research Institute,068913,Singapore
3. Department of Computer Science,University of Exeter,Exeter EX4 4QF,UK
4. College of Computing and Data Science,Nanyang Technological University,639798,Singapore
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摘要

关键词

Airborne networks/Federated learning/Collaborative learning/Large model fine-tuning/UAV communications/Foundation models

Key words

Airborne networks/Federated learning/Collaborative learning/Large model fine-tuning/UAV communications/Foundation models

引用本文复制引用

Zihan CHEN,Longyu ZHOU,Shengyu ZHANG,Chenyuan FENG,Dusit NIYATO..Efficient foundation model service provision over airborne networks:Collaborative tuning and inference[J].中国航空学报（英文版）,2026,39(5):98-110,13.

基金项目

This work was supported in part by UK Research and Innova-tion(UKRI)under the UK government's Horizon Europe funding guarantee MSCA postdoctoral fellowships(No.EP/Z53433X/1),and in part by the National Natural Science Foundation of China(No.62301328). （UKRI）

中国航空学报（英文版）

ISSN：1000-9361

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