Efficient foundation model service provision over airborne networks:Collaborative tuning and inferenceOA
Efficient foundation model service provision over airborne networks:Collaborative tuning and inference
Zihan CHEN;Longyu ZHOU;Shengyu ZHANG;Chenyuan FENG;Dusit NIYATO
Information Systems Technology and Design Pillar,Singapore University of Technology and Design,487372,SingaporeInformation Systems Technology and Design Pillar,Singapore University of Technology and Design,487372,Singapore||Chinatelecom Singapore Innovation Research Institute,068913,SingaporeInformation Systems Technology and Design Pillar,Singapore University of Technology and Design,487372,SingaporeDepartment of Computer Science,University of Exeter,Exeter EX4 4QF,UKCollege of Computing and Data Science,Nanyang Technological University,639798,Singapore
Airborne networksFederated learningCollaborative learningLarge model fine-tuningUAV communicationsFoundation models
Airborne networksFederated learningCollaborative learningLarge model fine-tuningUAV communicationsFoundation models
《中国航空学报（英文版）》 2026 (5)
98-110,13
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).
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