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Privacy Preserving

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Showing 901–925 of 2975 papers

TitleStatusHype
CARMA: Fair and efficient bottleneck congestion management via non-tradable karma credits—0
Environment-independent mmWave Fall Detection with Interacting Multiple Model—0
Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds—0
Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach—0
Efficient Privacy Preserving Viola-Jones Type Object Detection via Random Base Image Representation—0
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities—0
ESMFL: Efficient and Secure Models for Federated Learning—0
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis—0
Estimation of conditional average treatment effects on distributed confidential data—0
Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets—0
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains—0
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning—0
Efficient Privacy-Preserving Stochastic Nonconvex Optimization—0
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition—0
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption—0
EVA-S2PLoR: A Secure Element-wise Multiplication Meets Logistic Regression on Heterogeneous Database—0
Event Encryption: Rethinking Privacy Exposure for Neuromorphic Imaging—0
Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization—0
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing—0
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning—0
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework—0
Explainability and Continual Learning meet Federated Learning at the Network Edge—0
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization—0
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