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Privacy Preserving

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Showing 351–375 of 2975 papers

TitleStatusHype
Federated Split GANsCode0
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionCode0
A FAIR platform for reproducing mutational signature detection on tumor sequencing dataCode0
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data SourcesCode0
Federated Causal Inference from Observational DataCode0
Federated Stain Normalization for Computational PathologyCode0
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big dataCode0
Federated Frank-Wolfe AlgorithmCode0
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity ModelingCode0
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation SystemCode0
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
Federated Domain Generalization via Prompt Learning and AggregationCode0
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)Code0
Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric IdentificationCode0
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine LearningCode0
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior DataCode0
FedAH: Aggregated Head for Personalized Federated LearningCode0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought DisorderCode0
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol DatasetCode0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential PrivacyCode0
Adversarial representation learning for private speech generationCode0
Federated Causal Discovery From InterventionsCode0
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