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1 Ergebnisse
1
FederatedScope-GNN: Towards a Unified, Comprehensive and Ef..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Wang, Zhen
;
Kuang, Weirui
;
Xie, Yuexiang
... - p. 4110-4120 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539112
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3539112&Exemplar=1&LAN=DE A1 Wang, Zhen A1 Kuang, Weirui A1 Xie, Yuexiang A1 Yao, Liuyi A1 Li, Yaliang A1 Ding, Bolin A1 Zhou, Jingren PB ACM YR 2022 K1 federated learning K1 graph neural networks K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Machine learning algorithms SP 4110 OP 4120 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539112 DO https://dl.acm.org/doi/10.1145/3534678.3539112 SF ELIB - SuUB Bremen
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