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Privacy Preserving

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Showing 1026–1050 of 2975 papers

TitleStatusHype
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection—0
Efficient Adaptive Federated Optimization of Federated Learning for IoT—0
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks—0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning—0
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning—0
Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach—0
C^3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era—0
A privacy-preserving data storage and service framework based on deep learning and blockchain for construction workers' wearable IoT sensors—0
Effective and Privacy preserving Tabular Data Synthesizing—0
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective—0
Byzantine-Robust and Privacy-Preserving Framework for FedML—0
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference—0
EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting—0
Byzantine-Resilient Secure Federated Learning—0
A Privacy Preserving Data Publishing Middleware for Unstructured, Textual Social Media Data—0
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction—0
EdgePrompt: A Distributed Key-Value Inference Framework for LLMs in 6G Networks—0
Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises—0
Edge Private Graph Neural Networks with Singular Value Perturbation—0
Bytes Are All You Need: Transformers Operating Directly On File Bytes—0
A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images—0
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things—0
(ε, δ)-Differentially Private Partial Least Squares Regression—0
BUNET: Blind Medical Image Segmentation Based on Secure UNET—0
EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation—0
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