SOTAVerified

Privacy Preserving

Papers

Showing 451–500 of 2975 papers

TitleStatusHype
A Privacy-Preserving Outsourced Data Model in Cloud Environment—0
Client Selection in Federated Learning: Principles, Challenges, and Opportunities—0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—0
Clio: Privacy-Preserving Insights into Real-World AI Use—0
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies—0
A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique—0
Cloud-based Federated Boosting for Mobile Crowdsensing—0
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images—0
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare—0
A Privacy Preserving System for Movie Recommendations Using Federated Learning—0
Cluster-Enhanced Federated Graph Neural Network for Recommendation—0
Similarity-based Label Inference Attack against Training and Inference of Split Learning—0
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness—0
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning—0
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning—0
Code Integrity Attestation for PLCs using Black Box Neural Network Predictions—0
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner—0
Coincidental Generation—0
A Quantization-based Technique for Privacy Preserving Distributed Learning—0
CollabLoc: Privacy-Preserving Multi-Modal Localization via Collaborative Information Fusion—0
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization—0
Collaborative Drug Discovery: Inference-level Data Protection Perspective—0
Collaborative Inference over Wireless Channels with Feature Differential Privacy—0
A Randomized Approach for Tight Privacy Accounting—0
An Overview of AI and Blockchain Integration for Privacy-Preserving—0
Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability—0
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy—0
Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks—0
Combined Use of Federated Learning and Image Encryption for Privacy-Preserving Image Classification with Vision Transformer—0
Combining Stochastic Defenses to Resist Gradient Inversion: An Ablation Study—0
Communication and Computation Reduction for Split Learning using Asynchronous Training—0
Communication Compression for Distributed Learning without Control Variates—0
Communication-Computation Efficient Secure Aggregation for Federated Learning—0
Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence—0
A Fairness Analysis on Private Aggregation of Teacher Ensembles—0
A review of federated learning in renewable energy applications: Potential, challenges, and future directions—0
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning—0
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization—0
Communication-Efficient Federated Distillation with Active Data Sampling—0
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence—0
A blockchain-orchestrated Federated Learning architecture for healthcare consortia—0
Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments—0
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer—0
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation—0
Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning—0
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning—0
Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports—0
Comparative assessment of federated and centralized machine learning—0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Blockchain-based Trustworthy Federated Learning Architecture—0
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