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Privacy Preserving

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Showing 801–850 of 2975 papers

TitleStatusHype
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain—0
DVFL: A Vertical Federated Learning Method for Dynamic Data—0
DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging—0
Dyadic Movement Synchrony Estimation Under Privacy-preserving Conditions—0
Dynamic Differential-Privacy Preserving SGD—0
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory—0
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning—0
Dynamic Fusion based Federated Learning for COVID-19 Detection—0
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes—0
Dynamic Privacy For Distributed Machine Learning Over Network—0
Building blocks of a task-oriented dialogue system in the healthcare domain—0
EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization—0
East: Efficient and Accurate Secure Transformer Framework for Inference—0
Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning—0
EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation—0
Auditing f-Differential Privacy in One Run—0
(ε, δ)-Differentially Private Partial Least Squares Regression—0
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things—0
Defeating Image Obfuscation with Deep Learning—0
Edge Private Graph Neural Networks with Singular Value Perturbation—0
EdgePrompt: A Distributed Key-Value Inference Framework for LLMs in 6G Networks—0
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs—0
EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting—0
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference—0
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective—0
Effective and Privacy preserving Tabular Data Synthesizing—0
Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach—0
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning—0
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks—0
Efficient Adaptive Federated Optimization of Federated Learning for IoT—0
Analysing Fairness of Privacy-Utility Mobility Models—0
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
Efficient and Privacy Preserving Group Signature for Federated Learning—0
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models—0
Encrypted statistical machine learning: new privacy preserving methods—0
Efficient Cross-Domain Federated Learning by MixStyle Approximation—0
Efficient Data Distribution Estimation for Accelerated Federated Learning—0
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays—0
Audit and Improve Robustness of Private Neural Networks on Encrypted Data—0
Efficient Deployment of Large Language Models on Resource-constrained Devices—0
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data—0
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing—0
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition—0
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease—0
Real-Time Privacy-Preserving Data Release for Smart Meters—0
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression—0
Efficient Implementation of Reinforcement Learning over Homomorphic Encryption—0
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data—0
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning—0
Deep Quaternion Features for Privacy Protection—0
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