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Privacy Preserving

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Showing 501–550 of 2975 papers

TitleStatusHype
Privacy-Preserving Autoencoder for Collaborative Object DetectionCode0
Privacy-Preserving BanditsCode0
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
Automated Privacy-Preserving Techniques via Meta-LearningCode0
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic ForgettingCode0
Privacy-preserving Continual Federated Clustering via Adaptive Resonance TheoryCode0
Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models (Extended Version)Code0
Privacy-preserving data release leveraging optimal transport and particle gradient descentCode0
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior DataCode0
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation SystemCode0
Federated Causal Inference from Observational DataCode0
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss ApproximationsCode0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
Aura: Privacy-preserving Augmentation to Improve Test Set Diversity in Speech EnhancementCode0
A Universal Metric of Dataset Similarity for Cross-silo Federated LearningCode0
FedAH: Aggregated Head for Personalized 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
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
Achieving Model Fairness in Vertical Federated LearningCode0
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical ImagingCode0
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent HealthcareCode0
Analyze Gauss: Optimal Bounds for Privacy-Preserving Principal Component AnalysisCode0
FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential PrivacyCode0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data DistributionsCode0
FADAS: Towards Federated Adaptive Asynchronous OptimizationCode0
At the Intersection of NLP and Sustainable Development: Exploring the Impact of Demographic-Aware Text Representations in Modeling Value on a Corpus of InterviewsCode0
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome PredictionCode0
Exploring Selective Layer Fine-Tuning in Federated LearningCode0
Exploring the Landscape for Generative Sequence Models for Specialized Data SynthesisCode0
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial LearningCode0
Federated Causal Discovery From InterventionsCode0
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series ClassificationCode0
Estimating Model Performance on External Samples from Their Limited Statistical CharacteristicsCode0
Reconciling Privacy and Explainability in High-Stakes: A Systematic InquiryCode0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
Enhanced Outsourced and Secure Inference for Tall Sparse Decision TreesCode0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
Experimenting with Normalization Layers in Federated Learning on non-IID scenariosCode0
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted LearningCode0
Amalgam: A Framework for Obfuscated Neural Network Training on the CloudCode0
Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine LearningCode0
Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning MethodsCode0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
Empowering Data Mesh with Federated LearningCode0
Exploring Federated Pruning for Large Language ModelsCode0
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated LearningCode0
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoVCode0
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated IndustriesCode0
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