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Privacy Preserving

Papers

Showing 426450 of 2975 papers

TitleStatusHype
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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