{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T17:12:37Z","timestamp":1774804357752,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"HORIZON Research and Innovation Program of European Union","award":["101070177"],"award-info":[{"award-number":["101070177"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3665133","type":"journal-article","created":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T21:08:09Z","timestamp":1771276089000},"page":"26265-26277","source":"Crossref","is-referenced-by-count":1,"title":["An Open-Source AI-as-a-Service Framework for Federated, Efficient, and Drift-Robust Learning in the Continuum Edge\u2013Cloud"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0579-6178","authenticated-orcid":false,"given":"Sebasti\u00e1n","family":"Andr\u00e9s Cajas Ord\u00f3\u00f1ez","sequence":"first","affiliation":[{"name":"Ireland&#x2019;s Centre for Applied AI (CeADAR), University College Dublin, Belfield, Dublin 4, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5716-5545","authenticated-orcid":false,"given":"Jaydeep","family":"Samanta","sequence":"additional","affiliation":[{"name":"Ireland&#x2019;s Centre for Applied AI (CeADAR), University College Dublin, Belfield, Dublin 4, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5266-5053","authenticated-orcid":false,"given":"Andr\u00e9s L.","family":"Su\u00e1rez-Cetrulo","sequence":"additional","affiliation":[{"name":"Ireland&#x2019;s Centre for Applied AI (CeADAR), University College Dublin, Belfield, Dublin 4, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Romila","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Ireland&#x2019;s Centre for Applied AI (CeADAR), University College Dublin, Belfield, Dublin 4, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8602-7401","authenticated-orcid":false,"given":"Anastasios E.","family":"Giannopoulos","sequence":"additional","affiliation":[{"name":"Department of Ports Management and Shipping, National and Kapodistrian University of Athens (NKUA), Psachna, Euboea, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0877-5738","authenticated-orcid":false,"given":"Alex","family":"Barcel\u00f3","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center (BSC), Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ricardo Sim\u00f3n","family":"Carbajo","sequence":"additional","affiliation":[{"name":"Ireland&#x2019;s Centre for Applied AI (CeADAR), University College Dublin, Belfield, Dublin 4, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/fi17090417"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2016.7721750"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2918951"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-90203-1_4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2020.01.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1800478"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04772-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3423667"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoen.2024.213042"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28645-5_29"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-017-5642-8"},{"issue":"2","key":"ref12","first-page":"58","article-title":"The problem of concept drift: Definitions and related work","volume":"106","author":"Tsymbal","year":"2004","journal-title":"Comput. Sci. Dept., Trinity College Dublin"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118934"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-012-5320-9"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3312716"},{"key":"ref16","article-title":"A unified approach to interpreting model predictions","author":"Lundberg","year":"2017","journal-title":"arXiv:1705.07874"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2025.108271"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2017.05.080"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557080"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3396282"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3094089"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm57358.2023.10333889"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyai.2025.100594"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/NetSoft64993.2025.11080631"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3652892.3700751"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3477114.3488760"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3603166.3632545"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2024.11.042"},{"key":"ref29","article-title":"Splice-2 comparative evaluation: Electricity pricing","author":"Harries","year":"1999"},{"key":"ref30","first-page":"3","article-title":"Adaptive machine learning for resource-constrained environments","volume-title":"Discovering Drift Phenomena in Evolving Landscapes","author":"Cajas","year":"2025"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3721889.3721929"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.30"},{"key":"ref33","article-title":"Model compression via distillation and quantization","volume-title":"Proc. 6th Int. Conf. Learn. Represent.","author":"Polino"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref35","article-title":"Trained ternary quantization","volume-title":"Proc. 5th Int. Conf. Learn. Represent.","author":"Zhu"},{"key":"ref36","article-title":"FitNets: Hints for thin deep nets","author":"Romero","year":"2014","journal-title":"arXiv:1412.6550"},{"issue":"4","key":"ref37","first-page":"39","article-title":"Accelerating the machine learning lifecycle with MLflow","volume":"41","author":"Zaharia","year":"2018","journal-title":"IEEE Data Eng. Bull."},{"key":"ref38","volume-title":"Machine Learning","volume":"1","author":"Mitchell","year":"1997"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3555803"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3166160"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3113714"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2016.2617374"},{"key":"ref43","article-title":"Performance metrics (error measures) in machine learning regression, forecasting and prognostics: Properties and typology","author":"Botchkarev","year":"2018","journal-title":"arXiv:1809.03006"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2103.13630"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3067593"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2876857"},{"key":"ref47","article-title":"Driftmoe: A mixture of experts approach to handle concept drifts","author":"Aspis","year":"2025","journal-title":"arXiv:2507.18464"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11219-x"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-025-00953-2"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11396658.pdf?arnumber=11396658","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T20:50:33Z","timestamp":1772225433000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11396658\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3665133","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}