{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T19:14:24Z","timestamp":1782846864416,"version":"3.54.5"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"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. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tnnls.2024.3383748","type":"journal-article","created":{"date-parts":[[2024,4,10]],"date-time":"2024-04-10T18:19:18Z","timestamp":1712773158000},"page":"5614-5628","source":"Crossref","is-referenced-by-count":13,"title":["Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6244-3486","authenticated-orcid":false,"given":"Chong","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Cincinnati, Cincinnati, OH, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuaiqi","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Wisconsin–Milwaukee, Milwaukee, WI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2090-5512","authenticated-orcid":false,"given":"Shiqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4262-153X","authenticated-orcid":false,"given":"Kuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9796-054X","authenticated-orcid":false,"given":"Hai","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"11 Surprising Mobile Health Statistics"},{"key":"ref2","volume-title":"Telehealth Market Size, Share, & Trends Analysis Report 2022\u20132028","year":"2022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3533708"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41569-021-00522-7"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/2049-3258-72-28"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-136-9-200205070-00007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2919699"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3074010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3030072"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.3041804"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC51071.2022.9771547"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3543433"},{"key":"ref14","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. AISTATS","author":"McMahan"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3034674"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3083316"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3075291"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118402"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC51323.2021.9498677"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2953131"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3166101"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3041185"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3131614"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3271859"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3139055"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9415026"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3072238"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3178443"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3474369.3486872"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2024.3352628"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/a15080273"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/app12188980"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3309701"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9839100"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.21203\/rs.3.rs-1005694\/v1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2022.3148208"},{"key":"ref38","first-page":"16937","article-title":"Inverting gradients-how easy is it to break privacy in federated learning?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Geiping"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299155"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3185327"},{"key":"ref41","first-page":"493","article-title":"BatchCrypt: Efficient homomorphic encryption for cross-silo federated learning","volume-title":"Proc. USENIX ATC","author":"Zhang"},{"key":"ref42","article-title":"Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption","author":"Hardy","year":"2017","journal-title":"arXiv:1711.10677"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3131175"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2021.3099723"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2985917"},{"key":"ref48","volume-title":"Supplementary Material for Communication-Efficient Hybrid Federated Learning for E-health With Horizontal and Vertical Data Partitioning","year":"2024"},{"key":"ref49","first-page":"2738","article-title":"Compressed-VFL: Communication-efficient learning with vertically partitioned data","volume-title":"Proc. ICML","author":"Castiglia"},{"key":"ref50","article-title":"MedMNIST v2: A large-scale lightweight benchmark for 2D and 3D biomedical image classification","author":"Yang","year":"2021","journal-title":"arXiv:2110.14795"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.35"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0103-9"},{"key":"ref53","volume-title":"UCI Machine Learning Repository, Epileptic Seizure Recognition Data Set","year":"2023"},{"key":"ref54","volume-title":"United States\u2019s Mobile and Fixed Broadband Internet Speeds","year":"2021"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2010.03.091085"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10908444\/10496206.pdf?arnumber=10496206","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T18:40:36Z","timestamp":1741027236000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10496206\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":55,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2024.3383748","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}