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Privacy Preserving

Papers

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Showing 351–400 of 2975 papers

TitleStatusHype
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing TasksCode0
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss ApproximationsCode0
FedPH: Privacy-enhanced Heterogeneous Federated LearningCode0
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-GradientsCode0
Federated Survival ForestsCode0
Federated User Preference Modeling for Privacy-Preserving Cross-Domain RecommendationCode0
FedIMPUTE: Privacy-Preserving Missing Value Imputation for Multi-Site Heterogeneous Electronic Health RecordsCode0
Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID GraphsCode0
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain RecommendationCode0
Federated Split GANsCode0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Federated Learning with Reduced Information Leakage and ComputationCode0
Federated Stain Normalization for Computational PathologyCode0
FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot DetectionCode0
FedSC: Federated Learning with Semantic-Aware CollaborationCode0
Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPOCode0
Knowledge Distillation For Wireless Edge LearningCode0
Federated Causal Inference from Observational DataCode0
Federated Learning for Privacy-Preserving Feedforward Control in Multi-Agent SystemsCode0
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data SourcesCode0
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity ModelingCode0
Federated Domain Generalization via Prompt Learning and AggregationCode0
Federated Frank-Wolfe AlgorithmCode0
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionCode0
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
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine LearningCode0
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior DataCode0
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation SystemCode0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
Federated Causal Discovery From InterventionsCode0
Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought DisorderCode0
FedAH: Aggregated Head for Personalized Federated LearningCode0
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated LearningCode0
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol DatasetCode0
Adversarial representation learning for private speech generationCode0
A FAIR platform for reproducing mutational signature detection on tumor sequencing dataCode0
Federated Semantic Learning for Privacy-preserving Cross-domain RecommendationCode0
FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential PrivacyCode0
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome PredictionCode0
Federated Learning: Challenges, Methods, and Future DirectionsCode0
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion AttacksCode0
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial LearningCode0
Adversarial Privacy-preserving FilterCode0
Noiseless Privacy-Preserving Decentralized LearningCode0
FADAS: Towards Federated Adaptive Asynchronous OptimizationCode0
Anonymisation Models for Text Data: State of the art, Challenges and Future DirectionsCode0
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data DistributionsCode0
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