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Privacy Preserving

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Showing 2626–2650 of 2975 papers

TitleStatusHype
Comprehensive Exploration of Synthetic Data Generation: A Survey—0
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks—0
Compression Boosts Differentially Private Federated Learning—0
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles—0
Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection—0
Conditional Synthetic Data Generation for Personal Thermal Comfort Models—0
Configurable Privacy-Preserving Automatic Speech Recognition—0
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning—0
Consensus-Based Decentralized Energy Trading for Distributed Energy Resources—0
Constrained Differentially Private Federated Learning for Low-bandwidth Devices—0
Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments—0
Context-aware Data Aggregation with Localized Information Privacy—0
Context-Aware Differential Privacy for Language Modeling—0
Context-Aware Prediction of User Engagement on Online Social Platforms—0
Contrastive Explainable Clustering with Differential Privacy—0
Contrastive Learning on Multimodal Analysis of Electronic Health Records—0
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting—0
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption—0
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition—0
Cooperative Control of Multi-Channel Linear Systems with Self-Organizing Private Agents—0
Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling under Data Governance—0
Coordinating Flexible Ramping Products with Dynamics of the Natural Gas Network—0
Correlated Differential Privacy: Feature Selection in Machine Learning—0
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation—0
Concentrated Differentially Private and Utility Preserving Federated Learning—0
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