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Privacy Preserving

Papers

Showing 401450 of 2975 papers

TitleStatusHype
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation SystemCode0
Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought DisorderCode0
Federated Domain Generalization via Prompt Learning and AggregationCode0
Adversarial representation learning for private speech generationCode0
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior DataCode0
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated LearningCode0
Federated Learning: Challenges, Methods, and Future DirectionsCode0
F-KANs: Federated Kolmogorov-Arnold NetworksCode0
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature AugmentationCode0
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature AugmentationCode0
Adversarial Privacy-preserving FilterCode0
FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio SensingCode0
Noiseless Privacy-Preserving Decentralized LearningCode0
From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep AnalysisCode0
Federated Causal Discovery From InterventionsCode0
FedAH: Aggregated Head for Personalized Federated LearningCode0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
Anonymisation Models for Text Data: State of the art, Challenges and Future DirectionsCode0
Can Large Language Models Really Recognize Your Name?Code0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
Federated Frank-Wolfe AlgorithmCode0
Federated Semantic Learning for Privacy-preserving Cross-domain RecommendationCode0
GOD model: Privacy Preserved AI School for Personal AssistantCode0
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial LearningCode0
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome PredictionCode0
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data DistributionsCode0
FADAS: Towards Federated Adaptive Asynchronous OptimizationCode0
Differentially Private Distributed InferenceCode0
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic EncryptionCode0
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical RecordsCode0
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoTCode0
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language ModelsCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
CECILIA: Comprehensive Secure Machine Learning FrameworkCode0
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated LearningCode0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
Exploring the Landscape for Generative Sequence Models for Specialized Data SynthesisCode0
FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential PrivacyCode0
Experimenting with Normalization Layers in Federated Learning on non-IID scenariosCode0
Exploring Federated Pruning for Large Language ModelsCode0
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
Independent Distribution Regularization for Private Graph EmbeddingCode0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference AttacksCode0
Privacy-preserving datasets by capturing feature distributions with Conditional VAEsCode0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
Exploring Selective Layer Fine-Tuning in Federated LearningCode0
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