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1 Ergebnisse
1
RegAgg: A Scalable Approach for Efficient Weight Aggregatio..:
, In:
2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)
,
Khan, Muhammad Irfan
;
Alhoniemi, Esa
;
Kontio, Elina
.. - p. 101-106 , 2023
Link:
https://doi.org/10.1109/FMEC59375.2023.10306171
RT T1 <cTitle>2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)</cTitle>: T1 <Title>RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10306171&Exemplar=1&LAN=DE A1 Khan, Muhammad Irfan A1 Alhoniemi, Esa A1 Kontio, Elina A1 Khan, Suleiman A. A1 Jafaritadi, Mojtaba YR 2023 K1 Training K1 Image segmentation K1 Federated learning K1 Magnetic resonance imaging K1 Scalability K1 Computational modeling K1 Distributed databases K1 Brain Tumors K1 Cancer K1 Collaborative Learning K1 Federated Learning K1 Federated Lesion Segmentation K1 Regularized Weight Aggregation SP 101 OP 106 LK http://dx.doi.org/https://doi.org/10.1109/FMEC59375.2023.10306171 DO https://doi.org/10.1109/FMEC59375.2023.10306171 SF ELIB - SuUB Bremen
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