{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T16:43:12Z","timestamp":1778344992091,"version":"3.51.4"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"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 Trans. Consumer Electron."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1109\/tce.2025.3620115","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T17:36:50Z","timestamp":1760117810000},"page":"9983-9992","source":"Crossref","is-referenced-by-count":1,"title":["Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1148-0084","authenticated-orcid":false,"given":"Anum","family":"Nawaz","sequence":"first","affiliation":[{"name":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Irfan","sequence":"additional","affiliation":[{"name":"TIERS Laboratory, Faculty of Technology, University of Turku, Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9042-3730","authenticated-orcid":false,"given":"Xianjia","family":"Yu","sequence":"additional","affiliation":[{"name":"TIERS Laboratory, University of Turku, Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5510-8605","authenticated-orcid":false,"given":"Hamad","family":"Aldawsari","sequence":"additional","affiliation":[{"name":"Haql University College, University of Tabuk, Tabuk, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3448-9425","authenticated-orcid":false,"given":"Rayan Hamza","family":"Alsisi","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Islamic University of Madinah, Madinah, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8546-1329","authenticated-orcid":false,"given":"Zhuo","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1793-2694","authenticated-orcid":false,"given":"Tomi","family":"Westerlund","sequence":"additional","affiliation":[{"name":"Robotics and Autonomous Systems and the TIERS Laboratory, Faculty of Technology, University of Turku, Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"95","article-title":"Reproducibility of the methods in medical imaging with deep learning","volume-title":"Proc. Med. Imag. Deep Learn.","author":"Simk\u00f3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3436755"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2024.3457033"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3030072"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.098"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2022.020318"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3318754"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-44-319037-7.00028-4"},{"key":"ref9","article-title":"Distributed Quasi\u2013Newton method for fair and fast federated learning","author":"Hamidi","year":"2025","journal-title":"arXiv:2501.10877"},{"key":"ref10","article-title":"Towards a theoretical and practical understanding of one-shot federated learning with Fisher information","author":"Jhunjhunwala","year":"2023","journal-title":"Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities (FL-ICML)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3570953"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2021.100550"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3571156"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3654663"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3530812"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3289832"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2024.110021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2023.3276594"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s20143965"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2025.3564013"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/303"},{"key":"ref22","article-title":"Overcoming catastrophic forgetting problem by weight consolidation and long-term memory","author":"Wen","year":"2018","journal-title":"arXiv:1805.07441"},{"key":"ref23","article-title":"Overcoming catastrophic forgetting by incremental moment matching","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lee"},{"key":"ref24","article-title":"Stochastic-sign SGD for federated learning with theoretical guarantees","author":"Jin","year":"2020","journal-title":"arXiv:2002.10940"},{"key":"ref25","article-title":"Overcoming forgetting in federated learning on non-IID data","author":"Shoham","year":"2019","journal-title":"arXiv:1910.07796"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10969-y"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2025.3552524"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671545"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671897"},{"key":"ref30","volume-title":"Hipaa for Professionals","year":"2025"},{"key":"ref31","volume-title":"Protection Regulation (GDPR) 2018","year":"2018"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-04952-y"},{"key":"ref33","volume-title":"Mastering Bitcoin: Programming the Open Blockchain","author":"Antonopoulos","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3233\/shti240612"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/30\/11306167\/11199897.pdf?arnumber=11199897","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T18:41:28Z","timestamp":1766428888000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11199897\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":34,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tce.2025.3620115","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"value":"0098-3063","type":"print"},{"value":"1558-4127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11]]}}}