TY - GEN
T1 - Deep Federated Feature Recommendation
AU - Xue, Bin
AU - Zheng, Qinghua
AU - Li, Zhinan
AU - Zhao, Weihu
AU - Zhang, Weihang
AU - Feng, Xue
N1 - Publisher Copyright:
© 2024 The authors and IOS Press.
PY - 2024/1/12
Y1 - 2024/1/12
N2 - 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.
AB - 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.
KW - deep learning
KW - feature extraction-recommendation
KW - Federated learning
UR - http://www.scopus.com/inward/record.url?scp=85183076145&partnerID=8YFLogxK
U2 - 10.3233/FAIA231248
DO - 10.3233/FAIA231248
M3 - Conference contribution
AN - SCOPUS:85183076145
T3 - Frontiers in Artificial Intelligence and Applications
SP - 644
EP - 649
BT - Electronics, Communications and Networks - Proceedings of the 13th International Conference, CECNet 2023
A2 - Tallon-Ballesteros, Antonio J.
A2 - Cortes-Ancos, Estefania
A2 - Lopez-Garcia, Diego A.
PB - IOS Press BV
T2 - 13th International Conference on Electronics, Communications and Networks, CECNet 2023
Y2 - 17 November 2023 through 20 November 2023
ER -