{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T10:44:05Z","timestamp":1758192245609,"version":"3.44.0"},"reference-count":40,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3606865","type":"journal-article","created":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T17:47:20Z","timestamp":1757353640000},"page":"158585-158602","source":"Crossref","is-referenced-by-count":0,"title":["Model-Oriented Orchestration for Federated Learning: Personalization Through Intelligent Client Matching"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2207-5324","authenticated-orcid":false,"given":"Chaimae","family":"Zaoui","sequence":"first","affiliation":[{"name":"Laboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M&#x2019;Sick, Hassan II University of Casablanca, Casablanca, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0676-4365","authenticated-orcid":false,"given":"Nabil","family":"Aharrane","sequence":"additional","affiliation":[{"name":"Laboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M&#x2019;Sick, Hassan II University of Casablanca, Casablanca, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4967-1051","authenticated-orcid":false,"given":"Faouzia","family":"Benabbou","sequence":"additional","affiliation":[{"name":"Laboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M&#x2019;Sick, Hassan II University of Casablanca, Casablanca, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6214-1209","authenticated-orcid":false,"given":"Amal","family":"Zaouch","sequence":"additional","affiliation":[{"name":"Laboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M&#x2019;Sick, Hassan II University of Casablanca, Casablanca, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2424-1090","authenticated-orcid":false,"given":"Chaimaa","family":"Bouaine","sequence":"additional","affiliation":[{"name":"Laboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M&#x2019;Sick, Hassan II University of Casablanca, Casablanca, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jiixd.2023.12.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.techfore.2022.121623"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fdgth.2024.1399461"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/jsan12020030"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.51903\/jtie.v3i3.204"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/informatics11040071"},{"key":"ref7","article-title":"Scalable and differentially private distributed aggregation in the shuffled model","author":"Ghazi","year":"2019","journal-title":"arXiv:1906.08320"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2024.3482855"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2023.3322743"},{"key":"ref10","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Yin"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s24113632"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13203166"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/percomworkshops51409.2021.9431080"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/8514562"},{"key":"ref15","article-title":"FedHealth 2: Weighted federated transfer learning via batch normalization for personalized healthcare","author":"Chen","year":"2021","journal-title":"arXiv:2106.01009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tnsm.2023.3281133"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/s22041377"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2023.100784"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e26416"},{"article-title":"An innovative low-cost IoT-based asthma exacerbation prediction system using federated learning","volume-title":"Proc. 6th Int. Hybrid Conf. Informatics Applied Mathematics","author":"Dahane","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tnse.2022.3153519"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/spw53761.2021.00017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/icc45855.2022.9839100"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2024.07.035"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3381528"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-94478-0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-025-01661-8"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/math11204344"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ject.2024.11.001"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-97565-4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12204364"},{"key":"ref32","article-title":"The effect of personalization in FedProx: A fine-grained analysis on statistical accuracy and communication efficiency","author":"Yu","year":"2024","journal-title":"arXiv:2410.08934"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tte.2023.3343106"},{"key":"ref34","first-page":"9489","article-title":"Personalized federated learning using hypernetworks","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Shamsian"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/icts52701.2021.9609044"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1186\/s41747-022-00288-8"},{"key":"ref37","article-title":"Utilizing machine learning models to predict acute kidney injury in septic patients from MIMIC-III database","author":"Roknaldin","year":"2024","journal-title":"arXiv:2412.03737"},{"key":"ref38","first-page":"10752","article-title":"On convergence of FedProx: Local dissimilarity invariant bounds, non-smoothness and beyond","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yuan"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3410530.3414321"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00985"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11153459.pdf?arnumber=11153459","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T17:32:30Z","timestamp":1758130350000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11153459\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3606865","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}