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Achieng Atim Irene

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#federated learning Open access Sep 2026

Privacy-Preserving Federated Learning for Digital Libraries Quarterly Focus in Uganda: Robustness Under Distribution Shift and Sparse Labels

Federated learning offers a promising architecture for digital library consortia in low-resource settings, where centralising user interaction data is often infeasible due to privacy concerns and bandwidth constraints. We introduce a client-weighted aggregation rule that corrects for covariate shift through importance...

Achieng Atim Irene, Byaruhanga Twinomujuni Joseph, Kemigisa Namutebi Rose · 0 citations
#federated learning Open access Sep 2026

Privacy-Preserving Federated Learning for Digital Libraries Quarterly Focus in Uganda: Robustness Under Distribution Shift and Sparse Labels

Federated learning offers a promising architecture for digital library consortia in low-resource settings, where centralising user interaction data is often infeasible due to privacy concerns and bandwidth constraints. We introduce a client-weighted aggregation rule that corrects for covariate shift through importance...

Achieng Atim Irene, Byaruhanga Twinomujuni Joseph, Kemigisa Namutebi Rose · 0 citations

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