{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T21:05:30Z","timestamp":1778015130255,"version":"3.51.4"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Reserved Leaders of Heilongjiang Provincial Leading Talent Echelon, in 2021"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3195039","type":"journal-article","created":{"date-parts":[[2022,7,29]],"date-time":"2022-07-29T19:33:49Z","timestamp":1659123229000},"page":"87832-87843","source":"Crossref","is-referenced-by-count":15,"title":["Heterogeneous Defect Prediction Based on Federated Reinforcement Learning via Gradient Clustering"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9118-230X","authenticated-orcid":false,"given":"Aili","family":"Wang","sequence":"first","affiliation":[{"name":"Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0799-7774","authenticated-orcid":false,"given":"Yinghui","family":"Zhao","sequence":"additional","affiliation":[{"name":"Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6089-9570","authenticated-orcid":false,"given":"Guodong","family":"Li","sequence":"additional","affiliation":[{"name":"Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Energy Taishan Power, Taishan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2453-3691","authenticated-orcid":false,"given":"Haibin","family":"Wu","sequence":"additional","affiliation":[{"name":"Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6421-8186","authenticated-orcid":false,"given":"Yuji","family":"Iwahori","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Chubu University, Kasugai, Aichi, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2786805.2786813"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2025113.2025120"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MSR.2010.5463279"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2013.11"},{"key":"ref36","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2016","journal-title":"arXiv 1602 05629"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2019.2939303"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2016EDL8238"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC48688.2020.00-88"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114637"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2021.3074660"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2019.2939303"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3058886"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCS52626.2021.9449214"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3063291"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3095506"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3038287"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2106494"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2017.2724538"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1561\/0400000042","article-title":"The algorithmic foundations of differential privacy","volume":"9","author":"dwork","year":"2014","journal-title":"Found Trends Theor Comput Sci"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2018.10.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3130265"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2020.3001739"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2961129"},{"key":"ref29","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","author":"wang","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3017101"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1595696.1595713"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2016.2521840"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.09.035"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1732\/1\/012002"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3035451"},{"key":"ref21","article-title":"Federated deep reinforcement learning","author":"zhuo","year":"2019","journal-title":"arXiv 1901 08277"},{"key":"ref24","first-page":"1","article-title":"A federated learning aggregation algorithm for pervasive computing: Evaluation and comparison","author":"ek","year":"2021","journal-title":"Proc IEEE Int Conf Pervasive Comput Commun (PerCom)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3074221"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015958"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3007662"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09844744.pdf?arnumber=9844744","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T20:23:10Z","timestamp":1663618990000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9844744\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3195039","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}