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Privacy Preserving

Papers

Showing 181190 of 2975 papers

TitleStatusHype
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated LearningCode1
A federated graph neural network framework for privacy-preserving personalizationCode1
Can Foundation Models Help Us Achieve Perfect Secrecy?Code1
GeoPointGAN: Synthetic Spatial Data with Local Label Differential PrivacyCode1
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical ImagingCode1
Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image RetrievalCode1
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated FeaturesCode1
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated DistillationCode1
FedCorr: Multi-Stage Federated Learning for Label Noise CorrectionCode1
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine LearningCode1
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