{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T18:36:42Z","timestamp":1758047802476,"version":"3.44.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,19]]},"DOI":"10.1109\/infocomwkshps65812.2025.11152941","type":"proceedings-article","created":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T17:28:22Z","timestamp":1757698102000},"page":"i-vi","source":"Crossref","is-referenced-by-count":0,"title":["An Efficient Diffusion Model-Based Federated Learning with Non-IID Data for 6G Networks"],"prefix":"10.1109","author":[{"given":"Yufeng","family":"Xia","sequence":"first","affiliation":[{"name":"Xidian University,School of Telecommunication Engineering,Xi&#x2019;an,China"}]},{"given":"Ruiyi","family":"Yin","sequence":"additional","affiliation":[{"name":"Xidian University,School of Telecommunication Engineering,Xi&#x2019;an,China"}]},{"given":"Jie","family":"Feng","sequence":"additional","affiliation":[{"name":"Xidian University,School of Telecommunication Engineering,Xi&#x2019;an,China"}]},{"given":"Bodong","family":"Shang","sequence":"additional","affiliation":[{"name":"Eastern Institute of Technology,Eastern Institute for Advanced Study,Ningbo,China"}]},{"given":"Jing","family":"Lei","sequence":"additional","affiliation":[{"name":"Xidian University,School of Telecommunication Engineering,Xi&#x2019;an,China"}]},{"given":"Qingqi","family":"Pei","sequence":"additional","affiliation":[{"name":"Xidian University,School of Telecommunication Engineering,Xi&#x2019;an,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106854"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3131654"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-022-01647-y"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3313195"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3421529"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2025.3528408"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.098"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3345382"},{"key":"ref9","article-title":"Federated learning with non-iid data","author":"Zhao","year":"2018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155494"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00077"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3108197"},{"key":"ref13","article-title":"Overcoming forgetting in federated learning on non-iid data","author":"Shoham","year":"2019"},{"key":"ref14","article-title":"Classifier-free diffusion guidance","author":"Ho","year":"2022"},{"key":"ref15","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref16","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":"ref17","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"ref19","article-title":"Deep residual learning for image recognition","author":"He","year":"2015"}],"event":{"name":"IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","location":"London, United Kingdom","start":{"date-parts":[[2025,5,19]]},"end":{"date-parts":[[2025,5,19]]}},"container-title":["IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11152714\/11152715\/11152941.pdf?arnumber=11152941","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,13]],"date-time":"2025-09-13T05:24:23Z","timestamp":1757741063000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11152941\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,19]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/infocomwkshps65812.2025.11152941","relation":{},"subject":[],"published":{"date-parts":[[2025,5,19]]}}}