A New Lossless Compression Paradigm for Federated Learning: A Quantile-Based Framework for Bandwidth Efficiency Without Accuracy Degradation.

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Title: A New Lossless Compression Paradigm for Federated Learning: A Quantile-Based Framework for Bandwidth Efficiency Without Accuracy Degradation.
Authors: Abdellah, Marwa1 (AUTHOR), Hesham, Aya1,2 (AUTHOR), Salah, Ahmad3 (AUTHOR) ahmad.salah@utas.edu.om, Behery, Gamal M.4 (AUTHOR)
Source: Information. Jun2026, Vol. 17 Issue 6, p528. 17p.
Database: Academic Search Ultimate
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  Data: A New Lossless Compression Paradigm for Federated Learning: A Quantile-Based Framework for Bandwidth Efficiency Without Accuracy Degradation.
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        Value: 10.3390/info17060528
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        Text: English
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      – TitleFull: A New Lossless Compression Paradigm for Federated Learning: A Quantile-Based Framework for Bandwidth Efficiency Without Accuracy Degradation.
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            NameFull: Hesham, Aya
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              Text: Jun2026
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              Y: 2026
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