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Privacy Preserving

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Showing 2801–2850 of 2975 papers

TitleStatusHype
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment—0
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks—0
Distributed Coordination of Deferrable Loads: A Real-time Market with Self-fulfilling Forecasts—0
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization—0
Distributed Optimal Allocation with Quantized Communication and Privacy-Preserving Guarantees—0
Distributed generation of privacy preserving data with user customization—0
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning—0
Distributed Machine Learning and the Semblance of Trust—0
Distributed Online Learning with Multiple Kernels—0
Distributed Privacy-Preserving Electric Vehicle Charging Control Based on Secret Sharing—0
Distributed Private Online Learning for Social Big Data Computing over Data Center Networks—0
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching—0
Distributed Sketching Methods for Privacy Preserving Regression—0
Distribution Discrepancy Maximization for Image Privacy Preserving—0
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems—0
DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences—0
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering—0
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?—0
Do Gradient Inversion Attacks Make Federated Learning Unsafe?—0
Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images—0
Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning—0
Doppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis—0
Double-Private Distributed Estimation Algorithm Using Differential Privacy and a Key-Like Proportionate Matrix with Its Performance Analysis—0
DP^2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring—0
DPCOVID: Privacy-Preserving Federated Covid-19 Detection—0
DPD-InfoGAN: Differentially Private Distributed InfoGAN—0
DP-FP: Differentially Private Forward Propagation for Large Models—0
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework—0
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling—0
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning—0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling—0
DP-TrajGAN_ A privacy-aware trajectory generation model with differential privacy—0
dsLassoCov: a federated machine learning approach incorporating covariate control—0
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction—0
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality—0
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
Dynamic Event-Triggered Discrete-Time Linear Time-Varying System with Privacy-Preservation—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
EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization—0
East: Efficient and Accurate Secure Transformer Framework for Inference—0
EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation—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
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