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Shu-Yi Wang

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Open access Sep 2026

Privacy-Preserving Federated Learning for Artistic Image Classification in Visual IoT Sensor Networks

Visual Internet-of-Things (IoT) cameras and institution-controlled edge gateways increasingly collect artwork images in museums, galleries, and heritage sites. Centralizing these images can expose collection contents, exhibition layouts, and contextual information. This paper proposes FedArtSense, a privacy-preserving...

Shu-Yi Wang, Bao-Ping Wang · 0 citations
#generative ai Open access Sep 2026

FedMuse: A Privacy-Aware Federated Framework for Multi-Style Text-to-Image Art Generation

FedMuse is proposed, a privacy-aware federated framework for multi-style text-to-image art generation, in which distributed clients collaboratively train a shared generative model while keeping their private art data local, and an adaptive privacy regularizer is introduced to reduce memorization risk while maintaining...

Shu-Yi Wang, Bao-Ping Wang · 0 citations

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