{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T04:01:40Z","timestamp":1768968100319,"version":"3.49.0"},"reference-count":25,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program, China","doi-asserted-by":"publisher","award":["2023YFB4403805"],"award-info":[{"award-number":["2023YFB4403805"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010226","name":"(Key Area) Project of Department of Education of Guangdong Province, China","doi-asserted-by":"publisher","award":["2021ZDZX4008"],"award-info":[{"award-number":["2021ZDZX4008"]}],"id":[{"id":"10.13039\/501100010226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3538859","type":"journal-article","created":{"date-parts":[[2025,2,4]],"date-time":"2025-02-04T18:43:00Z","timestamp":1738694580000},"page":"25074-25086","source":"Crossref","is-referenced-by-count":1,"title":["Federated Reinforcement Learning in Stock Trading Execution: The FPPO Algorithm for Information Security"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9714-9060","authenticated-orcid":false,"given":"Haogang","family":"Feng","sequence":"first","affiliation":[{"name":"State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8526-1300","authenticated-orcid":false,"given":"Yue","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2330-8166","authenticated-orcid":false,"given":"Shida","family":"Zhong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9525-3814","authenticated-orcid":false,"given":"Tao","family":"Yuan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8108-2893","authenticated-orcid":false,"given":"Zhi","family":"Quan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTEA.2012.6462880"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CBI.2017.23"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCONS.2017.8250694"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/mafi.12052"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3971071"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-031219-041220"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.09.036"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/1350486X.2022.2077783"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67670-4_14"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3533271.3561761"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124263"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/14697688.2022.2039403"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3226629"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRAIE51050.2020.9358319"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3449726.3459576"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI47803.2020.9308468"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615247"},{"key":"ref18","article-title":"Transparency and privacy: The role of explainable AI and federated learning in financial fraud detection","author":"Awosika","year":"2023","journal-title":"arXiv:2312.13334"},{"key":"ref19","article-title":"Cross-domain federated learning in medical imaging","author":"Parekh","year":"2021","journal-title":"arXiv:2112.10001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.20517\/ir.2021.02"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/627"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICAAIC56838.2023.10141028"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-11748-0_15"},{"key":"ref24","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2016","journal-title":"arXiv:1602.05629"},{"key":"ref25","volume-title":"Cninfo","year":"2023"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10872909.pdf?arnumber=10872909","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T20:48:01Z","timestamp":1740084481000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10872909\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3538859","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}