{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T10:20:29Z","timestamp":1784370029384,"version":"3.55.0"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171057"],"award-info":[{"award-number":["62171057"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23B2001"],"award-info":[{"award-number":["U23B2001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201072"],"award-info":[{"award-number":["62201072"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62101064"],"award-info":[{"award-number":["62101064"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001054"],"award-info":[{"award-number":["62001054"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071067"],"award-info":[{"award-number":["62071067"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Education and China Mobile Joint Fund","award":["MCM20200202"],"award-info":[{"award-number":["MCM20200202"]}]},{"name":"Ministry of Education and China Mobile Joint Fund","award":["MCM20180101"],"award-info":[{"award-number":["MCM20180101"]}]},{"name":"BUPT Excellent Ph.D. Students Foundation","award":["CX2022129"],"award-info":[{"award-number":["CX2022129"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Serv. Comput."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tsc.2024.3414372","type":"journal-article","created":{"date-parts":[[2024,6,13]],"date-time":"2024-06-13T17:51:17Z","timestamp":1718301077000},"page":"2704-2718","source":"Crossref","is-referenced-by-count":6,"title":["One Teacher is Enough: A Server-Clueless Federated Learning With Knowledge Distillation"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4506-1299","authenticated-orcid":false,"given":"Wanyi","family":"Ning","sequence":"first","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0829-4624","authenticated-orcid":false,"given":"Qi","family":"Qi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2182-2228","authenticated-orcid":false,"given":"Jingyu","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3381-381X","authenticated-orcid":false,"given":"Mengde","family":"Zhu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2542-8542","authenticated-orcid":false,"given":"Shaolong","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guang","family":"Yang","sequence":"additional","affiliation":[{"name":"XG Lab, Alibaba DAMO Academy, Beijng, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1486-0573","authenticated-orcid":false,"given":"Jianxin","family":"Liao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3386126"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3386140"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457564"},{"key":"ref4","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3250705"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2020.3044043"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.16960"},{"key":"ref8","article-title":"Federated learning with non-IID data","author":"Zhao","year":"2018"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3246988"},{"key":"ref10","first-page":"1","article-title":"On the convergence of fedavg on non-IID data","volume-title":"Proc. 8th Int. Conf. Learn. Representations","author":"Li"},{"key":"ref11","first-page":"12878","article-title":"Data-free knowledge distillation for heterogeneous federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhu"},{"key":"ref12","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume":"2","author":"Li","year":"2020","journal-title":"Proc. Mach. Learn. Syst."},{"key":"ref13","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Karimireddy"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155494"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2022.3187962"},{"key":"ref16","article-title":"Communication-efficient on-device machine learning: Federated distillation and augmentation under non-IID private data","author":"Jeong","year":"2018"},{"key":"ref17","article-title":"Fedmd: Heterogenous federated learning via model distillation","author":"Li","year":"2019"},{"key":"ref18","first-page":"2351","article-title":"Ensemble distillation for robust model fusion in federated learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lin"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tifs.2017.2787987"},{"key":"ref20","first-page":"493","article-title":"$\\lbrace${BatchCrypt $\\rbrace$}: Efficient homomorphic encryption for $\\lbrace${ Cross-Silo$\\rbrace$} federated learning","volume-title":"Proc. USENIX Annu. Tech. Conf.","author":"Zhang","year":"2020"},{"key":"ref21","first-page":"1876","article-title":"Multiparty differential privacy via aggregation of locally trained classifiers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Pathak"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813687"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"issue":"11","key":"ref24","first-page":"169","article-title":"On data banks and privacy homomorphisms","volume":"4","author":"Rivest","year":"1978","journal-title":"Found. Secure Comput."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/mis.2021.3082561"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17277-0_9"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48910-X_16"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526127"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00993"},{"key":"ref31","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref32","first-page":"2654","article-title":"Do deep nets really need to be deep?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ba"},{"key":"ref33","article-title":"Fedrad: Federated robust adaptive distillation","author":"Sturluson","year":"2021"},{"key":"ref34","first-page":"1","article-title":"Fedbe: Making Bayesian model ensemble applicable to federated learning","volume-title":"Proc. 9th Int. Conf. Learn. Representations","author":"Chen"},{"key":"ref35","first-page":"1379","article-title":"Efficient differentially private secure aggregation for federated learning via hardness of learning with errors","volume-title":"Proc. 31st USENIX Secur. Symp.","author":"Stevens"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2019.2944481"},{"key":"ref37","first-page":"954","article-title":"CMFL: Mitigating communication overhead for federated learning","volume-title":"Proc. IEEE 39th Int. Conf. Distrib. Comput. Syst.","author":"Luping"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2014.7028543"},{"key":"ref39","first-page":"629","article-title":"Gaia:$\\lbrace${Geo-Distributed $\\rbrace$} machine learning approaching $\\lbrace${LAN$\\rbrace$} speeds","volume-title":"Proc. 14th USENIX Symp. Netw. Syst. Des. Implementation","author":"Hsieh","year":"2017"},{"key":"ref40","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.2118\/18761-MS"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966217"},{"key":"ref44","first-page":"32","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref45","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref46","article-title":"UCI repository of machine learning databases, department of information and computer science, university of California, Irvine, CA, 1998","author":"Blake","year":"2015"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00077"},{"key":"ref48","first-page":"633","article-title":"A parallel mixture of SVMs for very large scale problems","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Collobert"}],"container-title":["IEEE Transactions on Services Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4629386\/10709786\/10556806.pdf?arnumber=10556806","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T17:52:38Z","timestamp":1728496358000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10556806\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":48,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tsc.2024.3414372","relation":{},"ISSN":["1939-1374","2372-0204"],"issn-type":[{"value":"1939-1374","type":"electronic"},{"value":"2372-0204","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}