Federated Multimedia Recommendation Systems with Privacy Protection

In this big data era, distributed machine learning and global data pooling have become quite critical in practical implementation of any multimedia data-science technique. The emerging federated multimedia recommendation systems (FeMRSs) offer a promising approach to address the need of personalized...

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Veröffentlicht in:	IEEE International Symposium on Broadband Multimedia Systems and Broadcasting S. 1 - 7
Hauptverfasser:	Chang, Shih Yu, Wu, Hsiao-Chun, Yan, Kun, Huang, Scott Chih-Hao, Wu, Yiyan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.06.2024
Schlagworte:	collaborative filtering differential privacy (DP) Federated multimedia recommendation system (FeMRS) matrix sketching personalized dimensionalityreduction algorithm randomized DP matrix factorization algorithm
ISSN:	2155-5052
Online-Zugang:	Volltext
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