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Scalable Federated Learning for Massive Medical Image Classification: Tackling Noisy and Imbalanced Data.

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Title: Scalable Federated Learning for Massive Medical Image Classification: Tackling Noisy and Imbalanced Data.
Authors: Zemmouri, Hadjir1, zemmouri.hadjir@univ-constantine2.dz, Kout, Akram1,2, akram-kout@univ-setif.dz, Labed, Said1, said.labed@univ-constantine2.dz
Source: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p26978-26984, 7p
Database: Applied Science & Technology Source
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        Value: 10.48084/etasr.12040
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        Text: English
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      – TitleFull: Scalable Federated Learning for Massive Medical Image Classification: Tackling Noisy and Imbalanced Data.
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              Text: Oct2025
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