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Privacy Preserving

Papers

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Showing 451–500 of 2975 papers

TitleStatusHype
Client Selection for Federated Learning with Heterogeneous Resources in Mobile EdgeCode0
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated LearningCode0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
Locally Differentially Private Distributed Deep Learning via Knowledge DistillationCode0
FedAH: Aggregated Head for Personalized Federated LearningCode0
CrowdGuard: Federated Backdoor Detection in Federated LearningCode0
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language ModelsCode0
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device CollaborationCode0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
Federated Causal Discovery From InterventionsCode0
MC-GEN:Multi-level Clustering for Private Synthetic Data GenerationCode0
FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential PrivacyCode0
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
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat DetectionCode0
A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from SpeechCode0
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol DatasetCode0
MLitB: Machine Learning in the BrowserCode0
FADAS: Towards Federated Adaptive Asynchronous OptimizationCode0
A generic framework for privacy preserving deep learningCode0
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data DistributionsCode0
Modularity maximisation for graphonsCode0
Multi-Agent Trust Region Policy OptimizationCode0
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin DataCode0
Privacy-preserving datasets by capturing feature distributions with Conditional VAEsCode0
Backpropagation Clipping for Deep Learning with Differential PrivacyCode0
Position: On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model ConfidentialityCode0
Exploring Federated Pruning for Large Language ModelsCode0
Experimenting with Normalization Layers in Federated Learning on non-IID scenariosCode0
Exploring Selective Layer Fine-Tuning in Federated LearningCode0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Estimating Model Performance on External Samples from Their Limited Statistical CharacteristicsCode0
A V2X-based Privacy Preserving Federated Measuring and Learning SystemCode0
Auto-weighted Robust Federated Learning with Corrupted Data SourcesCode0
Communication Efficient and Privacy-Preserving Federated Learning Based on Evolution StrategiesCode0
On Membership Inference Attacks in Knowledge DistillationCode0
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series ClassificationCode0
An Empirical Study on the Intrinsic Privacy of SGDCode0
On the Price of Differential Privacy for Hierarchical ClusteringCode0
Enhanced Outsourced and Secure Inference for Tall Sparse Decision TreesCode0
Automatic Discovery of Privacy-Utility Pareto FrontsCode0
Empowering Data Mesh with Federated LearningCode0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
Automated Privacy-Preserving Techniques via Meta-LearningCode0
Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning MethodsCode0
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile AnalyticsCode0
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative ModelCode0
Exploring the Landscape for Generative Sequence Models for Specialized Data SynthesisCode0
Aura: Privacy-preserving Augmentation to Improve Test Set Diversity in Speech EnhancementCode0
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