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1 Ergebnisse
1
Towards Fair Federated Recommendation Learning: Characteriz..:
, In:
Proceedings of the 16th ACM Conference on Recommender Systems
,
Maeng, Kiwan
;
Lu, Haiyu
;
Melis, Luca
... - p. 156-167 , 2022
Link:
https://dl.acm.org/doi/10.1145/3523227.3546759
RT T1 <cTitle>Proceedings of the 16th ACM Conference on Recommender Systems</cTitle>: T1 <Title>Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3546759&Exemplar=1&LAN=DE A1 Maeng, Kiwan A1 Lu, Haiyu A1 Melis, Luca A1 Nguyen, John A1 Rabbat, Mike A1 Wu, Carole-Jean PB ACM YR 2022 K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Computing methodologies K1 Modeling and simulation SP 156 OP 167 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3523227.3546759 DO https://dl.acm.org/doi/10.1145/3523227.3546759 SF ELIB - SuUB Bremen
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