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Privacy Preserving

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Showing 1101–1150 of 2975 papers

TitleStatusHype
Bootstrap Model Aggregation for Distributed Statistical Learning—0
DPCOVID: Privacy-Preserving Federated Covid-19 Detection—0
DP^2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring—0
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations—0
Double-Private Distributed Estimation Algorithm Using Differential Privacy and a Key-Like Proportionate Matrix with Its Performance Analysis—0
Doppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis—0
Boomerang: Local sampling on image manifolds using diffusion models—0
A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon Control—0
Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning—0
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning—0
Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment—0
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications—0
Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images—0
Do Gradient Inversion Attacks Make Federated Learning Unsafe?—0
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare—0
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?—0
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness—0
An Overview of AI and Blockchain Integration for Privacy-Preserving—0
A Fairness Analysis on Private Aggregation of Teacher Ensembles—0
A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems—0
A blockchain-orchestrated Federated Learning architecture for healthcare consortia—0
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection—0
Challenges of Privacy-Preserving Machine Learning in IoT—0
Secure Distributed On-Device Learning Networks With Byzantine Adversaries—0
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering—0
DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences—0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems—0
Distribution Discrepancy Maximization for Image Privacy Preserving—0
Blockchain-based Trustworthy Federated Learning Architecture—0
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control—0
Distributed Sketching Methods for Privacy Preserving Regression—0
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching—0
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles—0
Distributed Private Online Learning for Social Big Data Computing over Data Center Networks—0
Distributed Privacy-Preserving Electric Vehicle Charging Control Based on Secret Sharing—0
Blockchain-based Federated Learning for Failure Detection in Industrial IoT—0
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning—0
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction—0
Distributed Online Learning with Multiple Kernels—0
Distributed Machine Learning and the Semblance of Trust—0
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior—0
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning—0
Blockchain as a Service: A Decentralized and Secure Computing Paradigm—0
A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component—0
Distributed generation of privacy preserving data with user customization—0
Distributed Optimal Allocation with Quantized Communication and Privacy-Preserving Guarantees—0
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing—0
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization—0
Blind Targeting: Personalization under Third-Party Privacy Constraints—0
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