{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T18:25:13Z","timestamp":1775327113618,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2023YFE0116600"],"award-info":[{"award-number":["2023YFE0116600"]}]},{"name":"Research Grants Council of Hong Kong","award":["27213824"],"award-info":[{"award-number":["27213824"]}]},{"name":"HKU IDS Research Seed Fund","award":["IDS-RSF2023-0012"],"award-info":[{"award-number":["IDS-RSF2023-0012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tmc.2024.3481275","type":"journal-article","created":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T17:27:36Z","timestamp":1729013256000},"page":"1293-1307","source":"Crossref","is-referenced-by-count":31,"title":["FedSN: A Federated Learning Framework Over Heterogeneous LEO Satellite Networks"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4463-5652","authenticated-orcid":false,"given":"Zheng","family":"Lin","sequence":"first","affiliation":[{"name":"Institute of Space Internet, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3215-2696","authenticated-orcid":false,"given":"Zhe","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Space Internet, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0844-9879","authenticated-orcid":false,"given":"Zihan","family":"Fang","sequence":"additional","affiliation":[{"name":"Institute of Space Internet, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4295-940X","authenticated-orcid":false,"given":"Xianhao","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, SAR, China"}]},{"given":"Xiong","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Space Internet, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6502-9910","authenticated-orcid":false,"given":"Yue","family":"Gao","sequence":"additional","affiliation":[{"name":"Institute of Space Internet, Fudan University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSPEC.2018.8362213"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2100795"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3186997"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM52122.2024.10621115"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCT59356.2023.10419549"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs10121867"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2020.140033"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3389\/fsufs.2021.504063"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126076"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3073969"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps58843.2023.10465123"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.36227\/techrxiv.173272996.63900291\/v1","article-title":"Automated federated pipeline for parameter-efficient fine-tuning of large language models","author":"Fang","year":"2024"},{"key":"ref13","article-title":"SplitLoRA: A split parameter-efficient fine-tuning framework for large language models","author":"Lin","year":"2024"},{"key":"ref14","article-title":"Fedspace: An efficient federated learning framework at satellites and ground stations","author":"So","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3359040"},{"key":"ref16","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3031503"},{"key":"ref19","article-title":"FedAC: A adaptive clustered federated learning framework for heterogeneous data","author":"Zhang","year":"2024"},{"key":"ref20","article-title":"AdaptSFL: Adaptive split federated learning in resource-constrained Edge networks","author":"Lin","year":"2024"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3365609.3365859"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3141120"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC53906.2023.10304545"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10021101"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909556"},{"key":"ref26","article-title":"Deep sub-nyquist modulation recognition challenge","year":"2022"},{"key":"ref27","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.23919\/ELINFOCOM.2019.8706476"},{"key":"ref29","article-title":"iPerf: The TCP\/UDP Bandwidth Measurement Tool","author":"Tirumala","year":"1999"},{"key":"ref30","article-title":"Planet high speed radio: Crossing Gbps from a 3U CubeSat","volume-title":"Proc. Small Satell. Conf.","author":"Devaraj"},{"key":"ref31","article-title":"The right way to introduce LEO services","author":"Aneesh","year":"2023"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3452296.3472932"},{"key":"ref33","first-page":"99","article-title":"Linux advanced routing & traffic control HOWTO","volume":"1","author":"Hubert","year":"2002","journal-title":"Netherlabs BV"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1029\/2006GL027522"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3168538"},{"key":"ref36","article-title":"Asynchronous federated optimization","author":"Xie","year":"2019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref38","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.014.2300319"},{"key":"ref40","article-title":"Pushing large language models to the 6G edge: Vision, challenges, and opportunities","author":"Lin","year":"2023"},{"key":"ref41","article-title":"HeteroFL: Computation and communication efficient federated learning for heterogeneous clients","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Diao"},{"key":"ref42","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8519248"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP55476.2022.10039157"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/10874847\/10716798.pdf?arnumber=10716798","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T06:01:29Z","timestamp":1738821689000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10716798\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":44,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2024.3481275","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}