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arxiv_cs_lg · Apr 30, 2026 · paper

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FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning

arxiv.orgApr 30, 2026
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In brief

Federated Multi-Label Learning is a distributed paradigm where multiple clients possess heterogeneous multi-label data and perform collaborative learning under privacy constraints without sharing raw data. However, mo...

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FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning

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