{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T00:41:32Z","timestamp":1705106492670},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684802","type":"print"},{"value":"9781643684819","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,12]]},"abstract":"<jats:p>Feature recommendation is one of the most critical and challenging problems in modern digital intelligence system. However, it is difficult to ensure privacy protection in many situations. To address this challenge, a deep federated feature recommendation method, called DF_Rec, is designed. Particularly, deep decentralized federated aggregation learning (DFAL) is jointly developed based on the ingenious combination of several deep frameworks and federated aggregation schemes. Extensive experiments are performed on three authoritative datasets, demonstrating that DF_Rec outperforms existing outstanding systems significantly.<\/jats:p>","DOI":"10.3233\/faia231248","type":"book-chapter","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:56:59Z","timestamp":1705064219000},"source":"Crossref","is-referenced-by-count":0,"title":["Deep Federated Feature Recommendation"],"prefix":"10.3233","author":[{"given":"Bin","family":"Xue","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China"},{"name":"School of Information and Communications, National University of Defense Technology, Wuhan, China"},{"name":"Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, China"}]},{"given":"Qinghua","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China"}]},{"given":"Zhinan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information and Communications, National University of Defense Technology, Wuhan, China"}]},{"given":"Weihu","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Information and Communications, National University of Defense Technology, Wuhan, China"}]},{"given":"Weihang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing, China"}]},{"given":"Xue","family":"Feng","sequence":"additional","affiliation":[{"name":"Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Electronics, Communications and Networks"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA231248","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:57:00Z","timestamp":1705064220000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA231248"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"ISBN":["9781643684802","9781643684819"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia231248","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]}}}