arxiv
PublishedMay 4, 2026 at 4:00 AM
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Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
Publisher summary· verbatim
arXiv:2412.00452v2 Announce Type: replace Abstract: Conventioanl federated learning (FL) heavily depends on high-quality labels, which are often impractical in the real world, leading to the federated label-noise (F-LN) problem. Worsely, the F-LN problem is exacerbated by the heterogeneity of FL, wh
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Originally published on arxiv ↗