{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T22:12:29Z","timestamp":1780524749478,"version":"3.54.1"},"reference-count":13,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Commun. Lett."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/lcomm.2024.3506015","type":"journal-article","created":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T18:46:09Z","timestamp":1732560369000},"page":"175-179","source":"Crossref","is-referenced-by-count":6,"title":["Resource-Aware Personalized Federated Learning Based on Reinforcement Learning"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6982-6994","authenticated-orcid":false,"given":"Tingting","family":"Wu","sequence":"first","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Li","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0911-6869","authenticated-orcid":false,"given":"Pengpei","family":"Gao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Robotics and the Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Yu","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lun","family":"Xin","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manxue","family":"Guo","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","volume":"54","author":"McMahan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3299573"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3369583.3392686"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3088577"},{"key":"ref5","first-page":"1","article-title":"FedFed: Feature distillation against data heterogeneity in federated learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Yang"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3359860"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SECON58729.2023.10287430"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tsc.2024.3399649"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref10","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref11","article-title":"Pruning filters for efficient ConvNets","author":"Li","year":"2016","journal-title":"arXiv:1608.08710"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2016.2601087"},{"key":"ref13","article-title":"Measuring the effects of non-identical data distribution for federated visual classification","author":"Harry Hsu","year":"2019","journal-title":"arXiv:1909.06335"}],"container-title":["IEEE Communications Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4234\/10835836\/10767221.pdf?arnumber=10767221","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T20:30:25Z","timestamp":1736541025000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10767221\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":13,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/lcomm.2024.3506015","relation":{},"ISSN":["1089-7798","1558-2558","2373-7891"],"issn-type":[{"value":"1089-7798","type":"print"},{"value":"1558-2558","type":"electronic"},{"value":"2373-7891","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}