Author

Bao-Ping 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 · Italian National Conference... · 0 citations

#federated learning Open access Sep 2026

FedPath-MTL: A Federated Multi-Task Framework for Personalized Learning Pathways with Real-Record Predictive Evaluation

Personalized learning pathways are difficult to support in distributed educational systems because learner records cannot always be centralized and one shared federated predictor may not represent heterogeneity across institutions, learning tasks, and individual learners. We propose FedPath-MTL, a federated multi-task...

Jun-Jun Liu, Huan Li, Le-Hua Jia et al. · Mathematics · 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 · Mathematics · 0 citations