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Privacy Preserving

Papers

Showing 201225 of 2975 papers

TitleStatusHype
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network TestingCode1
Local Learning Matters: Rethinking Data Heterogeneity in Federated LearningCode1
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial IntelligenceCode1
FedSim: Similarity guided model aggregation for Federated LearningCode1
FedFly: Towards Migration in Edge-based Distributed Federated LearningCode1
Masked LARk: Masked Learning, Aggregation and Reporting worKflowCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student ModelsCode1
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated LearningCode1
Selective Differential Privacy for Language ModelingCode1
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular DataCode1
FedMatch: Federated Learning Over Heterogeneous Question Answering DataCode1
Fully Homomorphically Encrypted Deep Learning as a ServiceCode1
DeceFL: A Principled Decentralized Federated Learning FrameworkCode1
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platformCode1
RoFL: Robustness of Secure Federated LearningCode1
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular DiseaseCode1
Gradient-Leakage Resilient Federated LearningCode1
An Efficient Approach for Cross-Silo Federated Learning to RankCode1
Federated Learning with Spiking Neural NetworksCode1
FL-Market: Trading Private Models in Federated LearningCode1
Antipodes of Label Differential Privacy: PATE and ALIBICode1
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
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