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A prototype-based framework for open-set heterogeneous federated face recognition
DOI:10.1016/j.eswa.2025.130020.png)
Abstract
En 中文
• Prototype-based federated face recognition for unseen new identities. • Shares identity prototypes without averaging to preserve class meaning. • Contrastive prototype-anchor loss boosts separation of face identities. • Works across diverse client model architectures and device conditions. • Improves strict low false accept verification while protecting privacy.
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
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No organization information available

