SOTAVerified

Privacy Preserving

Papers

Showing 27012725 of 2975 papers

TitleStatusHype
Differentially private federated deep learning for multi-site medical image segmentationCode0
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videosCode0
Privacy-Preserving Adaptive Re-Identification without Image TransferCode0
WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic ModelCode0
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted LearningCode0
RiM: Record, Improve and Maintain Physical Well-being using Federated LearningCode0
MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario ExplorationCode0
Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine LearningCode0
Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS)Code0
Experimenting with Normalization Layers in Federated Learning on non-IID scenariosCode0
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learningCode0
Generalized Federated Learning via Sharpness Aware MinimizationCode0
Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPOCode0
Towards Secure and Practical Machine Learning via Secret Sharing and Random PermutationCode0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
A generic framework for privacy preserving deep learningCode0
Generating gender-ambiguous voices for privacy-preserving speech recognitionCode0
Robust Aggregation for Federated LearningCode0
Robust and Communication-Efficient Federated Learning from Non-IID DataCode0
Privately Learning from Graphs with Applications in Fine-tuning Large Language ModelsCode0
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language ModelingCode0
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress DetectionCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed ModelsCode0
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-PreservingCode0
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