{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:52:55Z","timestamp":1778860375931,"version":"3.51.4"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Research Grants Council of the Hong Kong Special Administrative Region, China","award":["HKU RFS2122-7S04"],"award-info":[{"award-number":["HKU RFS2122-7S04"]}]},{"name":"NSFC\/RGC CRS","award":["CRS_HKU702\/24"],"award-info":[{"award-number":["CRS_HKU702\/24"]}]},{"name":"Areas of Excellence Scheme","award":["AoE\/E-601\/22-R"],"award-info":[{"award-number":["AoE\/E-601\/22-R"]}]},{"DOI":"10.13039\/501100001809","name":"Collaborative Research Fund","doi-asserted-by":"publisher","award":["C1009-22G"],"award-info":[{"award-number":["C1009-22G"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Collaborative Research Fund","doi-asserted-by":"publisher","award":["17212423"],"award-info":[{"award-number":["17212423"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"JC STEM Lab of Robotics for Soft Materials"},{"name":"Hong Kong Jockey Club Charities Trust"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1109\/twc.2025.3544333","type":"journal-article","created":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T18:57:59Z","timestamp":1740769079000},"page":"4839-4852","source":"Crossref","is-referenced-by-count":11,"title":["Resource Management for Low-Latency Cooperative Fine-Tuning of Foundation Models at the Network Edge"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2921-9132","authenticated-orcid":false,"given":"Hai","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5772-1875","authenticated-orcid":false,"given":"Xu","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8773-4629","authenticated-orcid":false,"given":"Kaibin","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"On the opportunities and risks of foundation models","author":"Bommasani","year":"2022"},{"key":"ref2","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"33","author":"Brown"},{"key":"ref3","volume-title":"Introducing ChatGPT","year":"2024"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900103"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126076"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3007787"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.568"},{"key":"ref8","article-title":"LoRa: Low-rank adaptation of large language models","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Hu"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2023.08.012"},{"key":"ref10","volume-title":"Apple Intelligence","year":"2024"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.005.2400019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.015.2300404"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.008.2300516"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2025.3531128"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3373015"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2947490"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2597169"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2016.2633522"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2821664"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-022-3652-2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2979523"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3303232"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3021177"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2988386"},{"key":"ref26","article-title":"Federated learning: Strategies for improving communication efficiency","volume-title":"Proc. NIPS Workshop Private Multi-Party Mach. Learn.","author":"Konecn\u00fd"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2940820"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148862"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000397"},{"key":"ref30","article-title":"Automated federated pipeline for parameter-efficient fine-tuning of large language models","author":"Fang","year":"2024","journal-title":"arXiv:2404.06448"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3242704"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118403"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.014.2300319"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3341301.3359646"},{"key":"ref35","first-page":"1","article-title":"Memory-efficient backpropagation through time","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"29","author":"Gruslys"},{"key":"ref36","article-title":"Training deep nets with sublinear memory cost","author":"Chen","year":"2016","journal-title":"arXiv:1604.06174"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.14778\/3415478.3415530"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-5446"},{"key":"ref39","article-title":"Scaling down to scale up: A guide to parameter-efficient fine-tuning","author":"Lialin","year":"2023","journal-title":"arXiv:2303.15647"},{"key":"ref40","first-page":"2790","article-title":"Parameter-efficient transfer learning for NLP","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Houlsby"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-short.1"},{"key":"ref42","first-page":"4120","article-title":"Asynchronous stochastic gradient descent with delay compensation","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Zheng"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/322092.322093"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800020109"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7693\/11021263\/10908556.pdf?arnumber=10908556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T04:25:19Z","timestamp":1749702319000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10908556\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":45,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/twc.2025.3544333","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6]]}}}