{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:33:55Z","timestamp":1759365235827,"version":"build-2065373602"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T00:00:00Z","timestamp":1750118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T00:00:00Z","timestamp":1750118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["QTZX25085"],"award-info":[{"award-number":["QTZX25085"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","award":["2025A1515012741"],"award-info":[{"award-number":["2025A1515012741"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,17]]},"DOI":"10.1109\/vtc2025-spring65109.2025.11174309","type":"proceedings-article","created":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T17:36:40Z","timestamp":1759253800000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["FedEXD: Self-Propelled Federated Learning with Extraction-Based Knowledge Distillation in Heterogeneous Environments"],"prefix":"10.1109","author":[{"given":"Yunfan","family":"Li","sequence":"first","affiliation":[{"name":"School of Telecommunication Engineering, Xidian University,Xi'an,China"}]},{"given":"Jie","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Telecommunication Engineering, Xidian University,Xi'an,China"}]},{"given":"Lei","family":"Liu","sequence":"additional","affiliation":[{"name":"Guangzhou Institute of Technology, Xidian University,Guangzhou,China"}]},{"given":"Bodong","family":"Shang","sequence":"additional","affiliation":[{"name":"Eastern Institute for Advanced Study, Eastern Institute of Technology,Ningbo,China"}]},{"given":"Jing","family":"Lei","sequence":"additional","affiliation":[{"name":"School of Cyber Engineering, Xidian University,Xi'an,China"}]},{"given":"Qingqi","family":"Pei","sequence":"additional","affiliation":[{"name":"School of Telecommunication Engineering, Xidian University,Xi'an,China"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1561\/2200000083"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/TWC.2025.3528408"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial intelligence and statistics","author":"McMahan","year":"2017"},{"key":"ref4","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li","year":"2020"},{"key":"ref5","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"International conference on machine learning","author":"Karimireddy"},{"key":"ref6","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","volume":"33","author":"Wang","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Adaptive federated optimization","author":"Reddi","year":"2020","journal-title":"arXiv preprint"},{"key":"ref8","article-title":"Federated Distillation: A Survey","author":"Li","year":"2024","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.4140\/TCP.n.2015.249"},{"key":"ref10","article-title":"FedD2S: Personalized Data-Free Federated Knowledge Distillation","author":"Atapour","year":"2024","journal-title":"arXiv preprint"},{"key":"ref11","article-title":"Fedmd: Heterogenous federated learning via model distillation","author":"Li","year":"2019","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1016\/j.neunet.2013.01.012"},{"key":"ref13","article-title":"Learning from sparse offline datasets via conservative density estimation","author":"Cen","year":"2024","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1093\/imanum\/draa038"}],"event":{"name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","start":{"date-parts":[[2025,6,17]]},"location":"Oslo, Norway","end":{"date-parts":[[2025,6,20]]}},"container-title":["2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11174123\/11174275\/11174309.pdf?arnumber=11174309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T05:56:53Z","timestamp":1759298213000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11174309\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,17]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/vtc2025-spring65109.2025.11174309","relation":{},"subject":[],"published":{"date-parts":[[2025,6,17]]}}}