{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T05:40:16Z","timestamp":1752212416978,"version":"3.41.2"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T00:00:00Z","timestamp":1748390400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T00:00:00Z","timestamp":1748390400000},"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":[],"published-print":{"date-parts":[[2025,5,28]]},"DOI":"10.1109\/memea65319.2025.11068095","type":"proceedings-article","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T17:45:25Z","timestamp":1752169525000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Preliminary Study of a Federated Learning Algorithm Based on an Evolutionary Random Subspace Forest"],"prefix":"10.1109","author":[{"given":"Thibo","family":"Van Doninck","sequence":"first","affiliation":[{"name":"BISI, VUB,Jette,Belgium"}]},{"given":"Kurt","family":"Barb\u00e9","sequence":"additional","affiliation":[{"name":"BISI, VUB,Jette,Belgium"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00323-1"},{"key":"ref2","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","volume-title":"Tech. Rep.","author":"McMahan","year":"2017"},{"volume-title":"Federated Learning for Distributed Load Forecasting: Addressing Data Imbalance in Smart Grids","author":"Wallis","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s23146578"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101765"},{"issue":"1","key":"ref6","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Machine Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124742"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btac065"},{"volume-title":"Optimizing patient care in rectal cancer: novel approach to predict treatment response","year":"2025","author":"Raets","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1995.598994"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2307\/2532051"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.56021\/9781421407944"},{"volume-title":"Parallelization of Least Squares System of Equations under the Matrix Splitting Theory","year":"2022","author":"Inghelbrecht","key":"ref13"}],"event":{"name":"2025 IEEE Medical Measurements &amp; Applications (MeMeA)","start":{"date-parts":[[2025,5,28]]},"location":"Chania, Greece","end":{"date-parts":[[2025,5,30]]}},"container-title":["2025 IEEE Medical Measurements &amp;amp; Applications (MeMeA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11067912\/11066288\/11068095.pdf?arnumber=11068095","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T05:26:16Z","timestamp":1752211576000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11068095\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,28]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/memea65319.2025.11068095","relation":{},"subject":[],"published":{"date-parts":[[2025,5,28]]}}}