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1 Ergebnisse
1
Multi-Confederated Learning: Inclusive Non-IID Data handlin..:
, In:
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
,
Duchesne, Michael
;
Zhang, Kaiwen
;
Chamseddine, Talhi
- p. 1587-1595 , 2024
Link:
https://dl.acm.org/doi/10.1145/3605098.3636000
RT T1 <cTitle>Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>Multi-Confederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3636000&Exemplar=1&LAN=DE A1 Duchesne, Michael A1 Zhang, Kaiwen A1 Chamseddine, Talhi PB ACM YR 2024 K1 federate learning K1 decentralized learning K1 non-iid K1 weight divergence K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Distributed computing methodologies SP 1587 OP 1595 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3605098.3636000 DO https://dl.acm.org/doi/10.1145/3605098.3636000 SF ELIB - SuUB Bremen
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